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1
.github/FUNDING.yml
vendored
@@ -1,6 +1,7 @@
|
||||
# These are supported funding model platforms
|
||||
|
||||
github: jeffser # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
|
||||
#ko_fi: jeffser
|
||||
#patreon: # Replace with a single Patreon username
|
||||
#open_collective: # Replace with a single Open Collective username
|
||||
#ko_fi: # Replace with a single Ko-fi username
|
||||
|
||||
20
.github/ISSUE_TEMPLATE/bug_report.md
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
---
|
||||
name: Bug report
|
||||
about: Something is wrong
|
||||
title: ''
|
||||
labels: bug
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
**Describe the bug**
|
||||
A clear and concise description of what the bug is.
|
||||
|
||||
**Expected behavior**
|
||||
A clear and concise description of what you expected to happen.
|
||||
|
||||
**Screenshots**
|
||||
If applicable, add screenshots to help explain your problem.
|
||||
|
||||
**Additional context**
|
||||
Add any other context about the problem here.
|
||||
20
.github/ISSUE_TEMPLATE/feature_request.md
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest an idea for this project
|
||||
title: ''
|
||||
labels: enhancement
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
**Is your feature request related to a problem? Please describe.**
|
||||
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
|
||||
|
||||
**Describe the solution you'd like**
|
||||
A clear and concise description of what you want to happen.
|
||||
|
||||
**Describe alternatives you've considered**
|
||||
A clear and concise description of any alternative solutions or features you've considered.
|
||||
|
||||
**Additional context**
|
||||
Add any other context or screenshots about the feature request here.
|
||||
59
README.md
@@ -1,34 +1,32 @@
|
||||
<img src="https://jeffser.com/images/alpaca/logo.svg">
|
||||
<p align="center"><img src="https://jeffser.com/images/alpaca/logo.svg"></p>
|
||||
|
||||
# Alpaca
|
||||
|
||||
An [Ollama](https://github.com/ollama/ollama) client made with GTK4 and Adwaita.
|
||||
|
||||
|
||||
|
||||
<a href='https://flathub.org/apps/com.jeffser.Alpaca'><img width='240' alt='Download on Flathub' src='https://flathub.org/api/badge?locale=en'/></a>
|
||||
|
||||
Alpaca is an [Ollama](https://github.com/ollama/ollama) client where you can manage and chat with multiple models, Alpaca provides an easy and begginer friendly way of interacting with local AI, everything is open source and powered by Ollama.
|
||||
|
||||
---
|
||||
|
||||
> [!WARNING]
|
||||
> This project is not affiliated at all with Ollama, I'm not responsible for any damages to your device or software caused by running code given by any models.
|
||||
|
||||
> [!important]
|
||||
> This is my first GTK4 / Adwaita / Python app, so it might crash and some features are still under development, please report any errors if you can, thank you!
|
||||
> This project is not affiliated at all with Ollama, I'm not responsible for any damages to your device or software caused by running code given by any AI models.
|
||||
|
||||
## Features!
|
||||
- Talk to multiple models in the same conversation
|
||||
- Pull and delete models from the app
|
||||
|
||||
## Future features!
|
||||
- Multiple conversations
|
||||
- Image / document recognition
|
||||
- Notifications
|
||||
- Image recognition
|
||||
- Document recognition (plain text files)
|
||||
- Code highlighting
|
||||
- Multiple conversations
|
||||
- Notifications
|
||||
- Import / Export chats
|
||||
- Delete / Edit messages
|
||||
- YouTube recognition (Ask questions about a YouTube video using the transcript)
|
||||
- Website recognition (Ask questions about a certain question by parsing the url)
|
||||
|
||||
## Screenies
|
||||
Login to Ollama instance | Chatting with models | Managing models
|
||||
:-------------------------:|:-------------------------:|:-------------------------:
|
||||
Chatting with a model | Image recognition | Code highlighting
|
||||
:--------------------:|:-----------------:|:----------------------:
|
||||
 |  | 
|
||||
|
||||
## Preview
|
||||
@@ -40,11 +38,30 @@ Login to Ollama instance | Chatting with models | Managing
|
||||
2. Download the latest flatpak package
|
||||
3. Open it
|
||||
|
||||
## Usage
|
||||
- You'll need an Ollama instance, I recommend using the [Docker image](https://ollama.com/blog/ollama-is-now-available-as-an-official-docker-image)
|
||||
- Once you open Alpaca it will ask you for a url, if you are using the same computer as the Ollama instance and didn't change the ports you can use the default url.
|
||||
- You might need a model, you can get one using the box icon at the top of the app, I recommend using phi3 because it is very lightweight but you can use whatever you want (I haven't actually tested all so your mileage may vary).
|
||||
- Then just start talking! you can mix different models, they all share the same conversation, it's really cool in my opinion.
|
||||
## Ollama session tips
|
||||
|
||||
### Change the port of the integrated Ollama instance
|
||||
Go to `~/.var/app/com.jeffser.Alpaca/config/server.json` and change the `"local_port"` value, by default it is `11435`.
|
||||
|
||||
### Backup all the chats
|
||||
The chat data is located in `~/.var/app/com.jeffser.Alpaca/data/chats` you can copy that directory wherever you want to.
|
||||
|
||||
### Force showing the welcome dialog
|
||||
To do that you just need to delete the file `~/.var/app/com.jeffser.Alpaca/config/server.json`, this won't affect your saved chats or models.
|
||||
|
||||
### Add/Change environment variables for Ollama
|
||||
You can change anything except `$HOME` and `$OLLAMA_HOST`, to do this go to `~/.var/app/com.jeffser.Alpaca/config/server.json` and change `ollama_overrides` accordingly, some overrides are available to change on the GUI.
|
||||
|
||||
---
|
||||
|
||||
## Thanks
|
||||
- [not-a-dev-stein](https://github.com/not-a-dev-stein) for their help with requesting a new icon, bug reports and the translation to Brazilian Portuguese
|
||||
- [TylerLaBree](https://github.com/TylerLaBree) for their requests and ideas
|
||||
- [Alexkdeveloper](https://github.com/alexkdeveloper) for their help translating the app to Russian
|
||||
- [Imbev](https://github.com/imbev) for their reports and suggestions
|
||||
- [Nokse](https://github.com/Nokse22) for their contributions to the UI
|
||||
- [Louis Chauvet-Villaret](https://github.com/loulou64490) for their suggestions and help translating the app to French
|
||||
- [CounterFlow64](https://github.com/CounterFlow64) for their help translating the app to Norwegian
|
||||
|
||||
## About forks
|
||||
If you want to fork this... I mean, I think it would be better if you start from scratch, my code isn't well documented at all, but if you really want to, please give me some credit, that's all I ask for... And maybe a donation (joke)
|
||||
|
||||
@@ -57,6 +57,87 @@
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "python3-pillow",
|
||||
"buildsystem": "simple",
|
||||
"build-commands": [
|
||||
"pip3 install --verbose --exists-action=i --no-index --find-links=\"file://${PWD}\" --prefix=${FLATPAK_DEST} \"pillow\" --no-build-isolation"
|
||||
],
|
||||
"sources": [
|
||||
{
|
||||
"type": "file",
|
||||
"url": "https://files.pythonhosted.org/packages/ef/43/c50c17c5f7d438e836c169e343695534c38c77f60e7c90389bd77981bc21/pillow-10.3.0.tar.gz",
|
||||
"sha256": "9d2455fbf44c914840c793e89aa82d0e1763a14253a000743719ae5946814b2d"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "python3-pypdf",
|
||||
"buildsystem": "simple",
|
||||
"build-commands": [
|
||||
"pip3 install --verbose --exists-action=i --no-index --find-links=\"file://${PWD}\" --prefix=${FLATPAK_DEST} \"pypdf\" --no-build-isolation"
|
||||
],
|
||||
"sources": [
|
||||
{
|
||||
"type": "file",
|
||||
"url": "https://files.pythonhosted.org/packages/c9/d1/450b19bbdbb2c802f554312c62ce2a2c0d8744fe14735bc70ad2803578c7/pypdf-4.2.0-py3-none-any.whl",
|
||||
"sha256": "dc035581664e0ad717e3492acebc1a5fc23dba759e788e3d4a9fc9b1a32e72c1"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "python3-pytube",
|
||||
"buildsystem": "simple",
|
||||
"build-commands": [
|
||||
"pip3 install --verbose --exists-action=i --no-index --find-links=\"file://${PWD}\" --prefix=${FLATPAK_DEST} \"pytube\" --no-build-isolation"
|
||||
],
|
||||
"sources": [
|
||||
{
|
||||
"type": "file",
|
||||
"url": "https://files.pythonhosted.org/packages/51/64/bcf8632ed2b7a36bbf84a0544885ffa1d0b4bcf25cc0903dba66ec5fdad9/pytube-15.0.0-py3-none-any.whl",
|
||||
"sha256": "07b9904749e213485780d7eb606e5e5b8e4341aa4dccf699160876da00e12d78"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "python3-html2text",
|
||||
"buildsystem": "simple",
|
||||
"build-commands": [
|
||||
"pip3 install --verbose --exists-action=i --no-index --find-links=\"file://${PWD}\" --prefix=${FLATPAK_DEST} \"html2text\" --no-build-isolation"
|
||||
],
|
||||
"sources": [
|
||||
{
|
||||
"type": "file",
|
||||
"url": "https://files.pythonhosted.org/packages/1a/43/e1d53588561e533212117750ee79ad0ba02a41f52a08c1df3396bd466c05/html2text-2024.2.26.tar.gz",
|
||||
"sha256": "05f8e367d15aaabc96415376776cdd11afd5127a77fce6e36afc60c563ca2c32"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "ollama",
|
||||
"buildsystem": "simple",
|
||||
"build-commands": [
|
||||
"install -Dm0755 ollama* ${FLATPAK_DEST}/bin/ollama"
|
||||
],
|
||||
"sources": [
|
||||
{
|
||||
"type": "file",
|
||||
"url": "https://github.com/ollama/ollama/releases/download/v0.2.8/ollama-linux-amd64",
|
||||
"sha256": "7641b21e9d0822ba44e494f5ed3d3796d9e9fcdf4dbb66064f8c34c865bbec0b",
|
||||
"only-arches": [
|
||||
"x86_64"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "file",
|
||||
"url": "https://github.com/ollama/ollama/releases/download/v0.2.8/ollama-linux-arm64",
|
||||
"sha256": "8ccaea237c3ef2a34d0cc00d8a89ffb1179d5c49211b6cbdf80d8d88e3f0add6",
|
||||
"only-arches": [
|
||||
"aarch64"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name" : "alpaca",
|
||||
"builddir" : true,
|
||||
@@ -64,7 +145,8 @@
|
||||
"sources" : [
|
||||
{
|
||||
"type" : "git",
|
||||
"url" : "file:///home/tentri/Documents/Alpaca"
|
||||
"url" : "file:///home/tentri/Documents/Alpaca",
|
||||
"branch" : "main"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@@ -6,3 +6,4 @@ Terminal=false
|
||||
Type=Application
|
||||
Categories=Utility;Development;Chat;
|
||||
StartupNotify=true
|
||||
X-Purism-FormFactor=Workstation;Mobile;
|
||||
@@ -5,14 +5,21 @@
|
||||
<project_license>GPL-3.0-or-later</project_license>
|
||||
<launchable type="desktop-id">com.jeffser.Alpaca.desktop</launchable>
|
||||
<name>Alpaca</name>
|
||||
<summary>An Ollama client</summary>
|
||||
<summary>Chat with local AI models</summary>
|
||||
<description>
|
||||
<p>Chat with multiple AI models</p>
|
||||
<p>An Ollama client</p>
|
||||
<p>Features</p>
|
||||
<ul>
|
||||
<li>Built in Ollama instance</li>
|
||||
<li>Talk to multiple models in the same conversation</li>
|
||||
<li>Pull and delete models from the app</li>
|
||||
<li>Have multiple conversations</li>
|
||||
<li>Image recognition (Only available with compatible models)</li>
|
||||
<li>Plain text documents recognition</li>
|
||||
<li>Import and export chats</li>
|
||||
<li>Append YouTube transcripts to the prompt</li>
|
||||
<li>Append text from a website to the prompt</li>
|
||||
<li>PDF recognition</li>
|
||||
</ul>
|
||||
<p>Disclaimer</p>
|
||||
<p>This project is not affiliated at all with Ollama, I'm not responsible for any damages to your device or software caused by running code given by any models.</p>
|
||||
@@ -29,6 +36,14 @@
|
||||
<category>Development</category>
|
||||
<category>Chat</category>
|
||||
</categories>
|
||||
<requires>
|
||||
<display_length compare="ge">360</display_length>
|
||||
</requires>
|
||||
<recommends>
|
||||
<control>keyboard</control>
|
||||
<control>pointing</control>
|
||||
<control>touch</control>
|
||||
</recommends>
|
||||
<branding>
|
||||
<color type="primary" scheme_preference="light">#8cdef5</color>
|
||||
<color type="primary" scheme_preference="dark">#0f2b78</color>
|
||||
@@ -36,22 +51,371 @@
|
||||
<screenshots>
|
||||
<screenshot type="default">
|
||||
<image>https://jeffser.com/images/alpaca/screenie1.png</image>
|
||||
<caption>Welcome dialog</caption>
|
||||
<caption>A normal conversation with an AI Model</caption>
|
||||
</screenshot>
|
||||
<screenshot>
|
||||
<image>https://jeffser.com/images/alpaca/screenie2.png</image>
|
||||
<caption>A conversation involving multiple models</caption>
|
||||
<caption>A conversation involving image recognition</caption>
|
||||
</screenshot>
|
||||
<screenshot>
|
||||
<image>https://jeffser.com/images/alpaca/screenie3.png</image>
|
||||
<caption>Managing models</caption>
|
||||
<caption>A conversation showing code highlighting</caption>
|
||||
</screenshot>
|
||||
<screenshot>
|
||||
<image>https://jeffser.com/images/alpaca/screenie4.png</image>
|
||||
<caption>A conversation involving a YouTube video transcript</caption>
|
||||
</screenshot>
|
||||
<screenshot>
|
||||
<image>https://jeffser.com/images/alpaca/screenie5.png</image>
|
||||
<caption>Multiple models being downloaded</caption>
|
||||
</screenshot>
|
||||
</screenshots>
|
||||
<content_rating type="oars-1.1" />
|
||||
<url type="bugtracker">https://github.com/Jeffser/Alpaca/issues</url>
|
||||
<url type="homepage">https://github.com/Jeffser/Alpaca</url>
|
||||
<url type="homepage">https://jeffser.com/alpaca/</url>
|
||||
<url type="donation">https://github.com/sponsors/Jeffser</url>
|
||||
<url type="translate">https://github.com/Jeffser/Alpaca/discussions/153</url>
|
||||
<url type="contribute">https://github.com/Jeffser/Alpaca/discussions/154</url>
|
||||
<url type="vcs-browser">https://github.com/Jeffser/Alpaca</url>
|
||||
<releases>
|
||||
<release version="1.0.0" date="2024-07-22">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/1.0.0</url>
|
||||
<description>
|
||||
<p>Stable Release</p>
|
||||
<p>The new icon was made by Tobias Bernard over the Gnome Gitlab, thanks for the great icon!</p>
|
||||
<p>Features and fixes</p>
|
||||
<ul>
|
||||
<li>Updated Ollama instance to 0.2.8</li>
|
||||
<li>Better model selector</li>
|
||||
<li>Model manager redesign</li>
|
||||
<li>Better tag selector when pulling a model</li>
|
||||
<li>Model search</li>
|
||||
<li>Added support for bearer tokens on remote instances</li>
|
||||
<li>Preferences dialog redesign</li>
|
||||
<li>Added context menus to interact with a chat</li>
|
||||
<li>Redesigned primary and secondary menus</li>
|
||||
<li>YouTube integration: Paste the URL of a video with a transcript and it will be added to the prompt</li>
|
||||
<li>Website integration (Experimental): Extract the text from the body of a website by adding it's URL to the prompt</li>
|
||||
<li>Chat title generation</li>
|
||||
<li>Auto resizing of message entry</li>
|
||||
<li>Chat notifications</li>
|
||||
<li>Added indicator when an image is missing</li>
|
||||
<li>Auto rearrange the order of chats when a message is received</li>
|
||||
<li>Redesigned file preview dialog</li>
|
||||
<li>Credited new contributors</li>
|
||||
<li>Better stability and optimization</li>
|
||||
<li>Edit messages to change the context of a conversation</li>
|
||||
<li>Added disclaimers when pulling models</li>
|
||||
<li>Preview files before sending a message</li>
|
||||
<li>Better format for date and time on messages</li>
|
||||
<li>Error and debug logging on terminal</li>
|
||||
<li>Auto-hiding sidebar button</li>
|
||||
<li>Various UI tweaks</li>
|
||||
</ul>
|
||||
<p>New Models</p>
|
||||
<ul>
|
||||
<li>Gemma2</li>
|
||||
<li>GLM4</li>
|
||||
<li>Codegeex4</li>
|
||||
<li>InternLM2</li>
|
||||
<li>Llama3-groq-tool-use</li>
|
||||
<li>Mathstral</li>
|
||||
<li>Mistral-nemo</li>
|
||||
<li>Firefunction-v2</li>
|
||||
<li>Nuextract</li>
|
||||
</ul>
|
||||
<p>Translations</p>
|
||||
<p>These are all the available translations on 1.0.0, thanks to all the contributors!</p>
|
||||
<ul>
|
||||
<li>Russian: Alex K</li>
|
||||
<li>Spanish: Jeffser</li>
|
||||
<li>Brazilian Portuguese: Daimar Stein</li>
|
||||
<li>French: Louis Chauvet-Villaret</li>
|
||||
<li>Norwegian: CounterFlow64</li>
|
||||
<li>Bengali: Aritra Saha</li>
|
||||
<li>Simplified Chinese: Yuehao Sui</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.9.6.1" date="2024-06-22">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.9.6.1</url>
|
||||
<description>
|
||||
<p>Fix</p>
|
||||
<p>Removed DOCX compatibility temporally due to error with python-lxml dependency </p>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.9.6" date="2024-06-21">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.9.6</url>
|
||||
<description>
|
||||
<p>Big Update</p>
|
||||
<ul>
|
||||
<li>Added compatibility for PDF</li>
|
||||
<li>Added compatibility for DOCX</li>
|
||||
<li>Merged 'file attachment' menu into one button</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.9.5" date="2024-06-04">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.9.5</url>
|
||||
<description>
|
||||
<p>Quick Fix</p>
|
||||
<p>There were some errors when transitioning from the old version of chats to the new version. I apologize if this caused any corruption in your chat history. This should be the only time such a transition is needed.</p>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.9.4" date="2024-06-04">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.9.4</url>
|
||||
<description>
|
||||
<p>Huge Update</p>
|
||||
<ul>
|
||||
<li>Added: Support for plain text files</li>
|
||||
<li>Added: New backend system for storing messages</li>
|
||||
<li>Added: Support for changing Ollama's overrides</li>
|
||||
<li>General Optimization</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.9.3" date="2024-06-01">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.9.3</url>
|
||||
<description>
|
||||
<p>Big Update</p>
|
||||
<ul>
|
||||
<li>Added: Support for GGUF models (experimental)</li>
|
||||
<li>Added: Support for customization and creation of models</li>
|
||||
<li>Fixed: Icons don't appear on non Gnome systems</li>
|
||||
<li>Update Ollama to v0.1.39</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.9.2" date="2024-05-30">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.9.2</url>
|
||||
<description>
|
||||
<p>Fix</p>
|
||||
<ul>
|
||||
<li>Fixed: app didn't open if models tweaks wasn't present in the config files</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.9.1" date="2024-05-29">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.9.1</url>
|
||||
<description>
|
||||
<p>Big Update</p>
|
||||
<ul>
|
||||
<li>Changed multiple icons (paper airplane for the send button)</li>
|
||||
<li>Combined export / import chat buttons into a menu</li>
|
||||
<li>Added 'model tweaks' (temperature, seed, keep_alive)</li>
|
||||
<li>Fixed send / stop button</li>
|
||||
<li>Fixed app not checking if remote connection works when starting</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.9.0" date="2024-05-29">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.9.0</url>
|
||||
<description>
|
||||
<p>Daily Update</p>
|
||||
<ul>
|
||||
<li>Added text ellipsis to chat name so it doesn't change the button width</li>
|
||||
<li>New shortcut for creating a chat (CTRL+N)</li>
|
||||
<li>New message entry design</li>
|
||||
<li>Fixed: Can't rename the same chat multiple times</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.8.8" date="2024-05-28">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.8.8</url>
|
||||
<description>
|
||||
<p>The fix</p>
|
||||
<ul>
|
||||
<li>Fixed: Ollama instance keeps running on the background even when it is disabled</li>
|
||||
<li>Fixed: Can't pull models on the integrated instance</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.8.7" date="2024-05-27">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.8.7</url>
|
||||
<description>
|
||||
<p>Quick tweaks</p>
|
||||
<ul>
|
||||
<li>Added progress bar to models that are being pulled</li>
|
||||
<li>Added size to tags when pulling a model</li>
|
||||
<li>General optimizations on the background</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.8.6" date="2024-05-26">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.8.6</url>
|
||||
<description>
|
||||
<p>Quick fixes</p>
|
||||
<ul>
|
||||
<li>Fixed: Scroll when message is received</li>
|
||||
<li>Fixed: Content doesn't change when creating a new chat</li>
|
||||
<li>Added 'Featured Models' page on welcome dialog</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.8.5" date="2024-05-26">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.8.5</url>
|
||||
<description>
|
||||
<p>Nice Update</p>
|
||||
<ul>
|
||||
<li>UI tweaks (Thanks Nokse22)</li>
|
||||
<li>General optimizations</li>
|
||||
<li>Metadata fixes</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.8.1" date="2024-05-24">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.8.1</url>
|
||||
<description>
|
||||
<p>Quick fix</p>
|
||||
<ul>
|
||||
<li>Updated Spanish translation</li>
|
||||
<li>Added compatibility for PNG</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.8.0" date="2024-05-24">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.8.0</url>
|
||||
<description>
|
||||
<p>New Update</p>
|
||||
<ul>
|
||||
<li>Updated model list</li>
|
||||
<li>Added image recognition to more models</li>
|
||||
<li>Added Brazilian Portuguese translation (Thanks Daimaar Stein)</li>
|
||||
<li>Refined the general UI (Thanks Nokse22)</li>
|
||||
<li>Added 'delete message' feature</li>
|
||||
<li>Added metadata so that software distributors know that the app is compatible with mobile</li>
|
||||
<li>Changed 'send' shortcut to just the return/enter key (to add a new line use shift+return)</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.7.1" date="2024-05-23">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.7.1</url>
|
||||
<description>
|
||||
<p>Bug Fixes</p>
|
||||
<ul>
|
||||
<li>Fixed: Minor spelling mistake</li>
|
||||
<li>Added 'mobile' as a supported form factor</li>
|
||||
<li>Fixed: 'Connection Error' dialog not working properly</li>
|
||||
<li>Fixed: App might freeze randomly on startup</li>
|
||||
<li>Changed 'chats' label on sidebar for 'Alpaca'</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.7.0" date="2024-05-22">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.7.0</url>
|
||||
<description>
|
||||
<p>Cool Update</p>
|
||||
<ul>
|
||||
<li>Better design for chat window</li>
|
||||
<li>Better design for chat sidebar</li>
|
||||
<li>Fixed remote connections</li>
|
||||
<li>Fixed Ollama restarting in loop</li>
|
||||
<li>Other cool backend stuff</li>
|
||||
</ul>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.6.0" date="2024-05-21">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.6.0</url>
|
||||
<description>
|
||||
<p>Huge Update</p>
|
||||
<ul>
|
||||
<li>Added Ollama as part of Alpaca, Ollama will run in a sandbox</li>
|
||||
<li>Added option to connect to remote instances (how it worked before)</li>
|
||||
<li>Added option to import and export chats</li>
|
||||
<li>Added option to run Alpaca with Ollama in the background</li>
|
||||
<li>Added preferences dialog</li>
|
||||
<li>Changed the welcome dialog</li>
|
||||
</ul>
|
||||
<p>
|
||||
Please report any errors to the issues page, thank you.
|
||||
</p>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.5.5" date="2024-05-20">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.5.5</url>
|
||||
<description>
|
||||
<p>Yet Another Daily Update</p>
|
||||
<ul>
|
||||
<li>Added better UI for 'Manage Models' dialog</li>
|
||||
<li>Added better UI for the chat sidebar</li>
|
||||
<li>Replaced model description with a button to open Ollama's website for the model</li>
|
||||
<li>Added myself to the credits as the spanish translator</li>
|
||||
<li>Using XDG properly to get config folder</li>
|
||||
<li>Update for translations</li>
|
||||
</ul>
|
||||
<p>
|
||||
Please report any errors to the issues page, thank you.
|
||||
</p>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.5.2" date="2024-05-19">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.5.2</url>
|
||||
<description>
|
||||
<p>Quick Fix</p>
|
||||
<ul>
|
||||
<li>The last update had some mistakes in the description of the update</li>
|
||||
</ul>
|
||||
<p>
|
||||
Please report any errors to the issues page, thank you.
|
||||
</p>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.5.1" date="2024-05-19">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.5.1</url>
|
||||
<description>
|
||||
<p>Another Daily Update</p>
|
||||
<ul>
|
||||
<li>Added full Spanish translation</li>
|
||||
<li>Added support for background pulling of multiple models</li>
|
||||
<li>Added interrupt button</li>
|
||||
<li>Added basic shortcuts</li>
|
||||
<li>Better translation support</li>
|
||||
<li>User can now leave chat name empty when creating a new one, it will add a placeholder name</li>
|
||||
<li>Better scalling for different window sizes</li>
|
||||
<li>Fixed: Can't close app if first time setup fails</li>
|
||||
</ul>
|
||||
<p>
|
||||
Please report any errors to the issues page, thank you.
|
||||
</p>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.5.0" date="2024-05-19">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.5.0</url>
|
||||
<description>
|
||||
<p>Really Big Update</p>
|
||||
<ul>
|
||||
<li>Added multiple chats support!</li>
|
||||
<li>Added Pango Markup support (bold, list, title, subtitle, monospace)</li>
|
||||
<li>Added autoscroll if the user is at the bottom of the chat</li>
|
||||
<li>Added support for multiple tags on a single model</li>
|
||||
<li>Added better model management dialog</li>
|
||||
<li>Added loading spinner when sending message</li>
|
||||
<li>Added notifications if app is not active and a model pull finishes</li>
|
||||
<li>Added new symbolic icon</li>
|
||||
<li>Added frame to message textview widget</li>
|
||||
<li>Fixed "code blocks shouldn't be editable"</li>
|
||||
</ul>
|
||||
<p>
|
||||
Please report any errors to the issues page, thank you.
|
||||
</p>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.4.0" date="2024-05-17">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.4.0</url>
|
||||
<description>
|
||||
<p>Big Update</p>
|
||||
<ul>
|
||||
<li>Added code highlighting</li>
|
||||
<li>Added image recognition (llava model)</li>
|
||||
<li>Added multiline prompt</li>
|
||||
<li>Fixed some small bugs</li>
|
||||
<li>General optimization</li>
|
||||
</ul>
|
||||
<p>
|
||||
Please report any errors to the issues page, thank you.
|
||||
</p>
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.3.0" date="2024-05-16">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.3.0</url>
|
||||
<description>
|
||||
@@ -69,7 +433,7 @@
|
||||
</description>
|
||||
</release>
|
||||
<release version="0.2.2" date="2024-05-14">
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.2.1</url>
|
||||
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/0.2.2</url>
|
||||
<description>
|
||||
<p>0.2.2 Bug fixes</p>
|
||||
<ul>
|
||||
|
||||
677
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|
Before Width: | Height: | Size: 2.0 KiB After Width: | Height: | Size: 2.0 KiB |
@@ -33,4 +33,24 @@ test('Validate schema file',
|
||||
compile_schemas,
|
||||
args: ['--strict', '--dry-run', meson.current_source_dir()])
|
||||
|
||||
subdir('icons')
|
||||
#service_conf = configuration_data()
|
||||
#service_conf.set('appid', application_id)
|
||||
#service_conf.set('libexecdir', join_paths(get_option('prefix'), get_option('bindir')))
|
||||
#configure_file(
|
||||
#input: 'com.jeffser.Alpaca.SearchProvider.service.in',
|
||||
#output: '@0@.SearchProvider.service'.format(application_id),
|
||||
#configuration: service_conf,
|
||||
#install_dir: join_paths(join_paths(get_option('prefix'), get_option('datadir')), 'dbus-1', 'services')
|
||||
#)
|
||||
|
||||
#search_provider_conf = configuration_data()
|
||||
#search_provider_conf.set('appid', application_id)
|
||||
#configure_file(
|
||||
#configuration: search_provider_conf,
|
||||
#input: files('com.jeffser.Alpaca.SearchProvider.ini.in'),
|
||||
#install_dir: join_paths(get_option('datadir'), 'gnome-shell', 'search-providers'),
|
||||
#output: '@0@.SearchProvider.ini'.format(application_id)
|
||||
#)
|
||||
|
||||
|
||||
subdir('icons')
|
||||
@@ -1,11 +1,12 @@
|
||||
project('Alpaca',
|
||||
version: '0.2.2',
|
||||
project('Alpaca', 'c',
|
||||
version: '1.0.0',
|
||||
meson_version: '>= 0.62.0',
|
||||
default_options: [ 'warning_level=2', 'werror=false', ],
|
||||
)
|
||||
|
||||
i18n = import('i18n')
|
||||
gnome = import('gnome')
|
||||
application_id = 'com.jeffser.Alpaca'
|
||||
|
||||
subdir('data')
|
||||
subdir('src')
|
||||
|
||||
@@ -1 +1,7 @@
|
||||
ru
|
||||
ru
|
||||
es
|
||||
pt_BR
|
||||
fr
|
||||
nb_NO
|
||||
bn
|
||||
zh_CN
|
||||
@@ -3,4 +3,7 @@ data/com.jeffser.Alpaca.metainfo.xml.in
|
||||
data/com.jeffser.Alpaca.gschema.xml
|
||||
src/main.py
|
||||
src/window.py
|
||||
src/available_models_descriptions.py
|
||||
src/connection_handler.py
|
||||
src/dialogs.py
|
||||
src/window.ui
|
||||
|
||||
1697
po/alpaca.pot
Normal file
1914
po/nb_NO.po
Normal file
1927
po/pt_BR.po
Normal file
1774
po/zh_CN.po
Normal file
@@ -1,6 +1,33 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<gresources>
|
||||
<gresource prefix="/com/jeffser/Alpaca">
|
||||
<file>style.css</file>
|
||||
<file alias="icons/scalable/status/paper-plane-symbolic.svg">icons/paper-plane-symbolic.svg</file>
|
||||
<file alias="icons/scalable/status/globe-symbolic.svg">icons/globe-symbolic.svg</file>
|
||||
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|
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|
||||
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|
||||
<file alias="icons/scalable/status/folder-download-symbolic.svg">icons/folder-download-symbolic.svg</file>
|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
20102
src/available_models.json
Normal file
@@ -1,91 +0,0 @@
|
||||
# available_models.py
|
||||
# There isn't an API to do this, sorry
|
||||
available_models = {
|
||||
"llama3":"Meta Llama 3: The most capable openly available LLM to date",
|
||||
"phi3":"Phi-3 Mini is a 3.8B parameters, lightweight, state-of-the-art open model by Microsoft.",
|
||||
"wizardlm2":"State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.",
|
||||
"mistral":"The 7B model released by Mistral AI, updated to version 0.2.",
|
||||
"gemma":"Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1",
|
||||
"mixtral":"A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes.",
|
||||
"llama2":"Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.",
|
||||
"codegemma":"CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.",
|
||||
"command-r":"Command R is a Large Language Model optimized for conversational interaction and long context tasks.",
|
||||
"command-r-plus":"Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases.",
|
||||
"llava":"🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.",
|
||||
"dbrx":"DBRX is an open, general-purpose LLM created by Databricks.",
|
||||
"codellama":"A large language model that can use text prompts to generate and discuss code.",
|
||||
"qwen":"Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters",
|
||||
"dolphin-mixtral":"Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford.",
|
||||
"llama2-uncensored":"Uncensored Llama 2 model by George Sung and Jarrad Hope.",
|
||||
"deepseek-coder":"DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens.",
|
||||
"mistral-openorca":"Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.",
|
||||
"nomic-embed-text":"A high-performing open embedding model with a large token context window.",
|
||||
"phi":"Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities.",
|
||||
"dolphin-mistral":"The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8.",
|
||||
"orca-mini":"A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.",
|
||||
"nous-hermes2":"The powerful family of models by Nous Research that excels at scientific discussion and coding tasks.",
|
||||
"zephyr":"Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.",
|
||||
"llama2-chinese":"Llama 2 based model fine tuned to improve Chinese dialogue ability.",
|
||||
"wizard-vicuna-uncensored":"Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.",
|
||||
"vicuna":"General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.",
|
||||
"starcoder2":"StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.",
|
||||
"openhermes":"OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets.",
|
||||
"tinyllama":"The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.",
|
||||
"openchat":"A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106.",
|
||||
"tinydolphin":"An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama.",
|
||||
"starcoder":"StarCoder is a code generation model trained on 80+ programming languages.",
|
||||
"wizardcoder":"State-of-the-art code generation model",
|
||||
"stable-code":"Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger.",
|
||||
"dolphin-llama3":"Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.",
|
||||
"yi":"A high-performing, bilingual language model.",
|
||||
"mxbai-embed-large":"State-of-the-art large embedding model from mixedbread.ai",
|
||||
"neural-chat":"A fine-tuned model based on Mistral with good coverage of domain and language.",
|
||||
"phind-codellama":"Code generation model based on Code Llama.",
|
||||
"wizard-math":"Model focused on math and logic problems",
|
||||
"starling-lm":"Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.",
|
||||
"falcon":"A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.",
|
||||
"orca2":"Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning.",
|
||||
"dolphincoder":"A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.",
|
||||
"dolphin-phi":"2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.",
|
||||
"nous-hermes":"General use models based on Llama and Llama 2 from Nous Research.",
|
||||
"sqlcoder":"SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks",
|
||||
"solar":"A compact, yet powerful 10.7B large language model designed for single-turn conversation.",
|
||||
"stablelm2":"Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.",
|
||||
"bakllava":"BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture.",
|
||||
"medllama2":"Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset.",
|
||||
"yarn-llama2":"An extension of Llama 2 that supports a context of up to 128k tokens.",
|
||||
"deepseek-llm":"An advanced language model crafted with 2 trillion bilingual tokens.",
|
||||
"nous-hermes2-mixtral":"The Nous Hermes 2 model from Nous Research, now trained over Mixtral.",
|
||||
"wizardlm-uncensored":"Uncensored version of Wizard LM model",
|
||||
"codeqwen":"CodeQwen1.5 is a large language model pretrained on a large amount of code data.",
|
||||
"all-minilm":"Embedding models on very large sentence level datasets.",
|
||||
"samantha-mistral":"A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral.",
|
||||
"codeup":"Great code generation model based on Llama2.",
|
||||
"stable-beluga":"Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.",
|
||||
"llama3-gradient":"This model extends LLama-3 8B's context length from 8k to over 1m tokens.",
|
||||
"everythinglm":"Uncensored Llama2 based model with support for a 16K context window.",
|
||||
"xwinlm":"Conversational model based on Llama 2 that performs competitively on various benchmarks.",
|
||||
"yarn-mistral":"An extension of Mistral to support context windows of 64K or 128K.",
|
||||
"meditron":"Open-source medical large language model adapted from Llama 2 to the medical domain.",
|
||||
"wizardlm":"General use model based on Llama 2.",
|
||||
"llama-pro":"An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics.",
|
||||
"magicoder":"🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.",
|
||||
"stablelm-zephyr":"A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.",
|
||||
"codebooga":"A high-performing code instruct model created by merging two existing code models.",
|
||||
"nexusraven":"Nexus Raven is a 13B instruction tuned model for function calling tasks.",
|
||||
"mistrallite":"MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.",
|
||||
"wizard-vicuna":"Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.",
|
||||
"goliath":"A language model created by combining two fine-tuned Llama 2 70B models into one.",
|
||||
"open-orca-platypus2":"Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation.",
|
||||
"notux":"A top-performing mixture of experts model, fine-tuned with high-quality data.",
|
||||
"megadolphin":"MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.",
|
||||
"snowflake-arctic-embed":"A suite of text embedding models by Snowflake, optimized for performance.",
|
||||
"duckdb-nsql":"7B parameter text-to-SQL model made by MotherDuck and Numbers Station.",
|
||||
"moondream":"moondream is a small vision language model designed to run efficiently on edge devices.",
|
||||
"notus":"A 7B chat model fine-tuned with high-quality data and based on Zephyr.",
|
||||
"alfred":"A robust conversational model designed to be used for both chat and instruct use cases.",
|
||||
"llava-llama3":"A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.",
|
||||
"llama3-chatqa":"A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).",
|
||||
"llava-phi3":"A new small LLaVA model fine-tuned from Phi 3 Mini."
|
||||
}
|
||||
|
||||
103
src/available_models_descriptions.py
Normal file
@@ -0,0 +1,103 @@
|
||||
descriptions = {
|
||||
'gemma2': _("Google Gemma 2 is now available in 2 sizes, 9B and 27B."),
|
||||
'llama3': _("Meta Llama 3: The most capable openly available LLM to date"),
|
||||
'qwen2': _("Qwen2 is a new series of large language models from Alibaba group"),
|
||||
'deepseek-coder-v2': _("An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks."),
|
||||
'phi3': _("Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft."),
|
||||
'aya': _("Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages."),
|
||||
'mistral': _("The 7B model released by Mistral AI, updated to version 0.3."),
|
||||
'mixtral': _("A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes."),
|
||||
'codegemma': _("CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following."),
|
||||
'command-r': _("Command R is a Large Language Model optimized for conversational interaction and long context tasks."),
|
||||
'command-r-plus': _("Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases."),
|
||||
'llava': _("🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6."),
|
||||
'gemma': _("Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1"),
|
||||
'qwen': _("Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters"),
|
||||
'llama2': _("Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters."),
|
||||
'codellama': _("A large language model that can use text prompts to generate and discuss code."),
|
||||
'dolphin-mixtral': _("Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford."),
|
||||
'nomic-embed-text': _("A high-performing open embedding model with a large token context window."),
|
||||
'llama2-uncensored': _("Uncensored Llama 2 model by George Sung and Jarrad Hope."),
|
||||
'deepseek-coder': _("DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens."),
|
||||
'phi': _("Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities."),
|
||||
'dolphin-mistral': _("The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8."),
|
||||
'orca-mini': _("A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware."),
|
||||
'dolphin-llama3': _("Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills."),
|
||||
'mxbai-embed-large': _("State-of-the-art large embedding model from mixedbread.ai"),
|
||||
'mistral-openorca': _("Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset."),
|
||||
'starcoder2': _("StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters."),
|
||||
'zephyr': _("Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants."),
|
||||
'yi': _("Yi 1.5 is a high-performing, bilingual language model."),
|
||||
'llama2-chinese': _("Llama 2 based model fine tuned to improve Chinese dialogue ability."),
|
||||
'llava-llama3': _("A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks."),
|
||||
'vicuna': _("General use chat model based on Llama and Llama 2 with 2K to 16K context sizes."),
|
||||
'nous-hermes2': _("The powerful family of models by Nous Research that excels at scientific discussion and coding tasks."),
|
||||
'wizard-vicuna-uncensored': _("Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford."),
|
||||
'tinyllama': _("The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens."),
|
||||
'codestral': _("Codestral is Mistral AI’s first-ever code model designed for code generation tasks."),
|
||||
'starcoder': _("StarCoder is a code generation model trained on 80+ programming languages."),
|
||||
'wizardlm2': _("State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases."),
|
||||
'openchat': _("A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106."),
|
||||
'tinydolphin': _("An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama."),
|
||||
'openhermes': _("OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets."),
|
||||
'wizardcoder': _("State-of-the-art code generation model"),
|
||||
'stable-code': _("Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger."),
|
||||
'codeqwen': _("CodeQwen1.5 is a large language model pretrained on a large amount of code data."),
|
||||
'neural-chat': _("A fine-tuned model based on Mistral with good coverage of domain and language."),
|
||||
'wizard-math': _("Model focused on math and logic problems"),
|
||||
'stablelm2': _("Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch."),
|
||||
'all-minilm': _("Embedding models on very large sentence level datasets."),
|
||||
'granite-code': _("A family of open foundation models by IBM for Code Intelligence"),
|
||||
'phind-codellama': _("Code generation model based on Code Llama."),
|
||||
'dolphincoder': _("A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2."),
|
||||
'nous-hermes': _("General use models based on Llama and Llama 2 from Nous Research."),
|
||||
'sqlcoder': _("SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks"),
|
||||
'llama3-gradient': _("This model extends LLama-3 8B's context length from 8k to over 1m tokens."),
|
||||
'starling-lm': _("Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness."),
|
||||
'deepseek-llm': _("An advanced language model crafted with 2 trillion bilingual tokens."),
|
||||
'yarn-llama2': _("An extension of Llama 2 that supports a context of up to 128k tokens."),
|
||||
'xwinlm': _("Conversational model based on Llama 2 that performs competitively on various benchmarks."),
|
||||
'llama3-chatqa': _("A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG)."),
|
||||
'orca2': _("Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning."),
|
||||
'solar': _("A compact, yet powerful 10.7B large language model designed for single-turn conversation."),
|
||||
'wizardlm': _("General use model based on Llama 2."),
|
||||
'samantha-mistral': _("A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral."),
|
||||
'dolphin-phi': _("2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research."),
|
||||
'stable-beluga': _("Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy."),
|
||||
'moondream': _("moondream2 is a small vision language model designed to run efficiently on edge devices."),
|
||||
'bakllava': _("BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture."),
|
||||
'wizardlm-uncensored': _("Uncensored version of Wizard LM model"),
|
||||
'snowflake-arctic-embed': _("A suite of text embedding models by Snowflake, optimized for performance."),
|
||||
'medllama2': _("Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset."),
|
||||
'yarn-mistral': _("An extension of Mistral to support context windows of 64K or 128K."),
|
||||
'nous-hermes2-mixtral': _("The Nous Hermes 2 model from Nous Research, now trained over Mixtral."),
|
||||
'llama-pro': _("An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics."),
|
||||
'deepseek-v2': _("A strong, economical, and efficient Mixture-of-Experts language model."),
|
||||
'meditron': _("Open-source medical large language model adapted from Llama 2 to the medical domain."),
|
||||
'codeup': _("Great code generation model based on Llama2."),
|
||||
'nexusraven': _("Nexus Raven is a 13B instruction tuned model for function calling tasks."),
|
||||
'everythinglm': _("Uncensored Llama2 based model with support for a 16K context window."),
|
||||
'llava-phi3': _("A new small LLaVA model fine-tuned from Phi 3 Mini."),
|
||||
'magicoder': _("🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets."),
|
||||
'stablelm-zephyr': _("A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware."),
|
||||
'codebooga': _("A high-performing code instruct model created by merging two existing code models."),
|
||||
'mistrallite': _("MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts."),
|
||||
'glm4': _("A strong multi-lingual general language model with competitive performance to Llama 3."),
|
||||
'wizard-vicuna': _("A strong multi-lingual general language model with competitive performance to Llama 3."),
|
||||
'duckdb-nsql': _("7B parameter text-to-SQL model made by MotherDuck and Numbers Station."),
|
||||
'megadolphin': _("MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself."),
|
||||
'goliath': _("A language model created by combining two fine-tuned Llama 2 70B models into one."),
|
||||
'notux': _("A top-performing mixture of experts model, fine-tuned with high-quality data."),
|
||||
'open-orca-platypus2': _("Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation."),
|
||||
'falcon2': _("Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens."),
|
||||
'notus': _("A 7B chat model fine-tuned with high-quality data and based on Zephyr."),
|
||||
'dbrx': _("DBRX is an open, general-purpose LLM created by Databricks."),
|
||||
'codegeex4': _("A versatile model for AI software development scenarios, including code completion."),
|
||||
'alfred': _("A robust conversational model designed to be used for both chat and instruct use cases."),
|
||||
'internlm2': _("InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability."),
|
||||
'llama3-groq-tool-use': _("A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling."),
|
||||
'mathstral': _("MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI."),
|
||||
'mistral-nemo': _("A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA."),
|
||||
'firefunction-v2': _("An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities."),
|
||||
'nuextract': _("A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3."),
|
||||
}
|
||||
@@ -1,61 +1,30 @@
|
||||
# connectionhandler.py
|
||||
# connection_handler.py
|
||||
import json, requests
|
||||
#OK=200 response.status_code
|
||||
url = None
|
||||
bearer_token = None
|
||||
|
||||
def get_headers(include_json:bool) -> dict:
|
||||
headers = {}
|
||||
if include_json:
|
||||
headers["Content-Type"] = "application/json"
|
||||
if bearer_token:
|
||||
headers["Authorization"] = "Bearer {}".format(bearer_token)
|
||||
return headers if len(headers.keys()) > 0 else None
|
||||
|
||||
def simple_get(connection_url:str) -> dict:
|
||||
try:
|
||||
response = requests.get(connection_url)
|
||||
if response.status_code == 200:
|
||||
return {"status": "ok", "text": response.text, "status_code": response.status_code}
|
||||
else:
|
||||
return {"status": "error", "status_code": response.status_code}
|
||||
except Exception as e:
|
||||
return {"status": "error", "status_code": 0}
|
||||
return requests.get(connection_url, headers=get_headers(False))
|
||||
|
||||
def simple_post(connection_url:str, data) -> dict:
|
||||
return requests.post(connection_url, headers=get_headers(True), data=data, stream=False)
|
||||
|
||||
def simple_delete(connection_url:str, data) -> dict:
|
||||
try:
|
||||
response = requests.delete(connection_url, json=data)
|
||||
if response.status_code == 200:
|
||||
return {"status": "ok", "status_code": response.status_code}
|
||||
else:
|
||||
return {"status": "error", "text": "Failed to delete", "status_code": response.status_code}
|
||||
except Exception as e:
|
||||
return {"status": "error", "status_code": 0}
|
||||
return requests.delete(connection_url, headers=get_headers(False), json=data)
|
||||
|
||||
def stream_post(connection_url:str, data, callback:callable) -> dict:
|
||||
try:
|
||||
headers = {
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
response = requests.post(connection_url, headers=headers, data=data, stream=True)
|
||||
if response.status_code == 200:
|
||||
for line in response.iter_lines():
|
||||
if line:
|
||||
callback(json.loads(line.decode("utf-8")))
|
||||
return {"status": "ok", "status_code": response.status_code}
|
||||
else:
|
||||
return {"status": "error", "status_code": response.status_code}
|
||||
except Exception as e:
|
||||
return {"status": "error", "status_code": 0}
|
||||
|
||||
|
||||
from time import sleep
|
||||
def stream_post_fake(connection_url:str, data, callback:callable) -> dict:
|
||||
data = {
|
||||
"status": "pulling manifest"
|
||||
}
|
||||
callback(data)
|
||||
for i in range(2):
|
||||
for a in range(11):
|
||||
sleep(.1)
|
||||
data = {
|
||||
"status": f"downloading digestname {i}",
|
||||
"digest": f"digestname {i}",
|
||||
"total": 500,
|
||||
"completed": a * 50
|
||||
}
|
||||
callback(data)
|
||||
for msg in ["verifying sha256 digest", "writting manifest", "removing any unused layers", "success"]:
|
||||
sleep(.1)
|
||||
data = {"status": msg}
|
||||
callback(data)
|
||||
return {"status": "ok", "status_code": 200}
|
||||
response = requests.post(connection_url, headers=get_headers(True), data=data, stream=True)
|
||||
if response.status_code == 200:
|
||||
for line in response.iter_lines():
|
||||
if line:
|
||||
callback(json.loads(line.decode("utf-8")))
|
||||
return response
|
||||
|
||||
359
src/dialogs.py
Normal file
@@ -0,0 +1,359 @@
|
||||
# dialogs.py
|
||||
|
||||
from gi.repository import Adw, Gtk, Gdk, GLib, GtkSource, Gio, GdkPixbuf
|
||||
import os
|
||||
from pytube import YouTube
|
||||
from html2text import html2text
|
||||
from . import connection_handler
|
||||
|
||||
# CLEAR CHAT | WORKS
|
||||
|
||||
def clear_chat_response(self, dialog, task):
|
||||
if dialog.choose_finish(task) == "clear":
|
||||
self.clear_chat()
|
||||
|
||||
def clear_chat(self):
|
||||
if self.bot_message is not None:
|
||||
self.show_toast(_("Chat cannot be cleared while receiving a message"), self.main_overlay)
|
||||
return
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Clear Chat?"),
|
||||
body=_("Are you sure you want to clear the chat?"),
|
||||
close_response="cancel"
|
||||
)
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("clear", _("Clear"))
|
||||
dialog.set_response_appearance("clear", Adw.ResponseAppearance.DESTRUCTIVE)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task: clear_chat_response(self, dialog, task)
|
||||
)
|
||||
|
||||
# DELETE CHAT | WORKS
|
||||
|
||||
def delete_chat_response(self, dialog, task, chat_name):
|
||||
if dialog.choose_finish(task) == "delete":
|
||||
self.delete_chat(chat_name)
|
||||
|
||||
def delete_chat(self, chat_name):
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Delete Chat?"),
|
||||
body=_("Are you sure you want to delete '{}'?").format(chat_name),
|
||||
close_response="cancel"
|
||||
)
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("delete", _("Delete"))
|
||||
dialog.set_response_appearance("delete", Adw.ResponseAppearance.DESTRUCTIVE)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, chat_name=chat_name: delete_chat_response(self, dialog, task, chat_name)
|
||||
)
|
||||
|
||||
# RENAME CHAT | WORKS
|
||||
|
||||
def rename_chat_response(self, dialog, task, old_chat_name, entry, label_element):
|
||||
if not entry: return
|
||||
new_chat_name = entry.get_text()
|
||||
if old_chat_name == new_chat_name: return
|
||||
if new_chat_name and (task is None or dialog.choose_finish(task) == "rename"):
|
||||
self.rename_chat(old_chat_name, new_chat_name, label_element)
|
||||
|
||||
def rename_chat(self, chat_name, label_element):
|
||||
entry = Gtk.Entry()
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Rename Chat?"),
|
||||
body=_("Renaming '{}'").format(chat_name),
|
||||
extra_child=entry,
|
||||
close_response="cancel"
|
||||
)
|
||||
entry.connect("activate", lambda dialog, old_chat_name=chat_name, entry=entry, label_element=label_element: rename_chat_response(self, dialog, None, old_chat_name, entry, label_element))
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("rename", _("Rename"))
|
||||
dialog.set_response_appearance("rename", Adw.ResponseAppearance.SUGGESTED)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, old_chat_name=chat_name, entry=entry, label_element=label_element: rename_chat_response(self, dialog, task, old_chat_name, entry, label_element)
|
||||
)
|
||||
|
||||
# NEW CHAT | WORKS | UNUSED REASON: The 'Add Chat' button now creates a chat without a name AKA "New Chat"
|
||||
|
||||
def new_chat_response(self, dialog, task, entry):
|
||||
chat_name = _("New Chat")
|
||||
if entry is not None and entry.get_text() != "": chat_name = entry.get_text()
|
||||
if chat_name and (task is None or dialog.choose_finish(task) == "create"):
|
||||
self.new_chat(chat_name)
|
||||
|
||||
|
||||
def new_chat(self):
|
||||
entry = Gtk.Entry()
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Create Chat?"),
|
||||
body=_("Enter name for new chat"),
|
||||
extra_child=entry,
|
||||
close_response="cancel"
|
||||
)
|
||||
entry.connect("activate", lambda dialog, entry: new_chat_response(self, dialog, None, entry))
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("create", _("Create"))
|
||||
dialog.set_response_appearance("create", Adw.ResponseAppearance.SUGGESTED)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, entry=entry: new_chat_response(self, dialog, task, entry)
|
||||
)
|
||||
|
||||
# STOP PULL MODEL | WORKS
|
||||
|
||||
def stop_pull_model_response(self, dialog, task, model_name):
|
||||
if dialog.choose_finish(task) == "stop":
|
||||
self.stop_pull_model(model_name)
|
||||
|
||||
def stop_pull_model(self, model_name):
|
||||
#self.pulling_model_list_box.unselect_all()
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Stop Download?"),
|
||||
body=_("Are you sure you want to stop pulling '{} ({})'?").format(model_name.split(":")[0].capitalize(), model_name.split(":")[1]),
|
||||
close_response="cancel"
|
||||
)
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("stop", _("Stop"))
|
||||
dialog.set_response_appearance("stop", Adw.ResponseAppearance.DESTRUCTIVE)
|
||||
dialog.choose(
|
||||
parent = self.manage_models_dialog,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, model_name = model_name: stop_pull_model_response(self, dialog, task, model_name)
|
||||
)
|
||||
|
||||
# DELETE MODEL | WORKS
|
||||
|
||||
def delete_model_response(self, dialog, task, model_name):
|
||||
if dialog.choose_finish(task) == "delete":
|
||||
self.delete_model(model_name)
|
||||
|
||||
def delete_model(self, model_name):
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Delete Model?"),
|
||||
body=_("Are you sure you want to delete '{}'?").format(model_name),
|
||||
close_response="cancel"
|
||||
)
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("delete", _("Delete"))
|
||||
dialog.set_response_appearance("delete", Adw.ResponseAppearance.DESTRUCTIVE)
|
||||
dialog.choose(
|
||||
parent = self.manage_models_dialog,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, model_name = model_name: delete_model_response(self, dialog, task, model_name)
|
||||
)
|
||||
|
||||
# REMOVE IMAGE | WORKS
|
||||
|
||||
def remove_attached_file_response(self, dialog, task, name):
|
||||
if dialog.choose_finish(task) == 'remove':
|
||||
self.file_preview_dialog.close()
|
||||
self.remove_attached_file(name)
|
||||
|
||||
def remove_attached_file(self, name):
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Remove Attachment?"),
|
||||
body=_("Are you sure you want to remove attachment?"),
|
||||
close_response="cancel"
|
||||
)
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("remove", _("Remove"))
|
||||
dialog.set_response_appearance("remove", Adw.ResponseAppearance.DESTRUCTIVE)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, name=name: remove_attached_file_response(self, dialog, task, name)
|
||||
)
|
||||
|
||||
# RECONNECT REMOTE | WORKS
|
||||
|
||||
def reconnect_remote_response(self, dialog, task, entry):
|
||||
response = dialog.choose_finish(task)
|
||||
if not task or response == "remote":
|
||||
self.connect_remote(entry.get_text())
|
||||
elif response == "local":
|
||||
self.connect_local()
|
||||
elif response == "close":
|
||||
self.destroy()
|
||||
|
||||
def reconnect_remote(self, current_url):
|
||||
entry = Gtk.Entry(
|
||||
css_classes = ["error"],
|
||||
text = current_url
|
||||
)
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Connection Error"),
|
||||
body=_("The remote instance has disconnected"),
|
||||
extra_child=entry
|
||||
)
|
||||
entry.connect("activate", lambda entry, dialog: reconnect_remote_response(self, dialog, None, entry))
|
||||
dialog.add_response("close", _("Close Alpaca"))
|
||||
dialog.add_response("local", _("Use local instance"))
|
||||
dialog.add_response("remote", _("Connect"))
|
||||
dialog.set_response_appearance("remote", Adw.ResponseAppearance.SUGGESTED)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, entry=entry: reconnect_remote_response(self, dialog, task, entry)
|
||||
)
|
||||
|
||||
# CREATE MODEL | WORKS
|
||||
|
||||
def create_model_from_existing_response(self, dialog, task, dropdown):
|
||||
model = dropdown.get_selected_item().get_string()
|
||||
if dialog.choose_finish(task) == 'accept' and model:
|
||||
self.create_model(model, False)
|
||||
|
||||
def create_model_from_existing(self):
|
||||
string_list = Gtk.StringList()
|
||||
for model in self.local_models:
|
||||
string_list.append(model)
|
||||
|
||||
dropdown = Gtk.DropDown()
|
||||
dropdown.set_model(string_list)
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Select Model"),
|
||||
body=_("This model will be used as the base for the new model"),
|
||||
extra_child=dropdown
|
||||
)
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("accept", _("Accept"))
|
||||
dialog.set_response_appearance("accept", Adw.ResponseAppearance.SUGGESTED)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, dropdown=dropdown: create_model_from_existing_response(self, dialog, task, dropdown)
|
||||
)
|
||||
|
||||
def create_model_from_file_response(self, file_dialog, result):
|
||||
try: file = file_dialog.open_finish(result)
|
||||
except:
|
||||
self.logger.error(e)
|
||||
return
|
||||
try:
|
||||
self.create_model(file.get_path(), True)
|
||||
except Exception as e:
|
||||
self.logger.error(e)
|
||||
self.show_toast(_("An error occurred while creating the model"), self.main_overlay)
|
||||
|
||||
def create_model_from_file(self):
|
||||
file_dialog = Gtk.FileDialog(default_filter=self.file_filter_gguf)
|
||||
file_dialog.open(self, None, lambda file_dialog, result: create_model_from_file_response(self, file_dialog, result))
|
||||
|
||||
# FILE CHOOSER | WORKS
|
||||
|
||||
def attach_file_response(self, file_dialog, result):
|
||||
file_types = {
|
||||
"plain_text": ["txt", "md", "html", "css", "js", "py", "java", "json", "xml"],
|
||||
"image": ["png", "jpeg", "jpg", "webp", "gif"],
|
||||
"pdf": ["pdf"]
|
||||
}
|
||||
try: file = file_dialog.open_finish(result)
|
||||
except:
|
||||
self.logger.error(e)
|
||||
return
|
||||
extension = file.get_path().split(".")[-1]
|
||||
file_type = next(key for key, value in file_types.items() if extension in value)
|
||||
if not file_type: return
|
||||
if file_type == 'image' and not self.verify_if_image_can_be_used():
|
||||
self.show_toast(_("Image recognition is only available on specific models"), self.main_overlay)
|
||||
return
|
||||
self.attach_file(file.get_path(), file_type)
|
||||
|
||||
|
||||
def attach_file(self, filter):
|
||||
file_dialog = Gtk.FileDialog(default_filter=filter)
|
||||
file_dialog.open(self, None, lambda file_dialog, result: attach_file_response(self, file_dialog, result))
|
||||
|
||||
|
||||
# YouTube caption | WORKS
|
||||
|
||||
def youtube_caption_response(self, dialog, task, video_url, caption_drop_down):
|
||||
if dialog.choose_finish(task) == "accept":
|
||||
buffer = self.message_text_view.get_buffer()
|
||||
text = buffer.get_text(buffer.get_start_iter(), buffer.get_end_iter(), False).replace(video_url, "")
|
||||
buffer.delete(buffer.get_start_iter(), buffer.get_end_iter())
|
||||
buffer.insert(buffer.get_start_iter(), text, len(text))
|
||||
|
||||
yt = YouTube(video_url)
|
||||
text = "{}\n{}\n{}\n\n".format(yt.title, yt.author, yt.watch_url)
|
||||
selected_caption = caption_drop_down.get_selected_item().get_string()
|
||||
for event in yt.captions[selected_caption.split(' | ')[1]].json_captions['events']:
|
||||
text += "{}\n".format(event['segs'][0]['utf8'].replace('\n', '\\n'))
|
||||
if not os.path.exists('/tmp/alpaca/youtube'):
|
||||
os.makedirs('/tmp/alpaca/youtube')
|
||||
file_path = os.path.join('/tmp/alpaca/youtube', f'{yt.title} ({selected_caption.split(" | ")[0]})')
|
||||
with open(file_path, 'w+') as f:
|
||||
f.write(text)
|
||||
self.attach_file(file_path, 'youtube')
|
||||
|
||||
def youtube_caption(self, video_url):
|
||||
yt = YouTube(video_url)
|
||||
video_title = yt.title
|
||||
captions = yt.captions
|
||||
if len(captions) == 0:
|
||||
self.show_toast(_("This video does not have any transcriptions"), self.main_overlay)
|
||||
return
|
||||
caption_list = Gtk.StringList()
|
||||
for caption in captions: caption_list.append("{} | {}".format(caption.name, caption.code))
|
||||
caption_drop_down = Gtk.DropDown(
|
||||
enable_search=True,
|
||||
model=caption_list
|
||||
)
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Attach YouTube Video?"),
|
||||
body=_("{}\n\nPlease select a transcript to include").format(video_title),
|
||||
extra_child=caption_drop_down,
|
||||
close_response="cancel"
|
||||
)
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("accept", _("Accept"))
|
||||
dialog.set_response_appearance("accept", Adw.ResponseAppearance.SUGGESTED)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, video_url = video_url, caption_drop_down = caption_drop_down: youtube_caption_response(self, dialog, task, video_url, caption_drop_down)
|
||||
)
|
||||
|
||||
# Website extraction |
|
||||
|
||||
def attach_website_response(self, dialog, task, url):
|
||||
if dialog.choose_finish(task) == "accept":
|
||||
response = connection_handler.simple_get(url)
|
||||
if response.status_code == 200:
|
||||
html = response.text
|
||||
md = html2text(html)
|
||||
buffer = self.message_text_view.get_buffer()
|
||||
textview_text = buffer.get_text(buffer.get_start_iter(), buffer.get_end_iter(), False).replace(url, "")
|
||||
buffer.delete(buffer.get_start_iter(), buffer.get_end_iter())
|
||||
buffer.insert(buffer.get_start_iter(), textview_text, len(textview_text))
|
||||
if not os.path.exists('/tmp/alpaca/websites/'):
|
||||
os.makedirs('/tmp/alpaca/websites/')
|
||||
md_name = self.generate_numbered_name('website.md', os.listdir('/tmp/alpaca/websites'))
|
||||
file_path = os.path.join('/tmp/alpaca/websites/', md_name)
|
||||
with open(file_path, 'w+') as f:
|
||||
f.write('{}\n\n{}'.format(url, md))
|
||||
self.attach_file(file_path, 'website')
|
||||
else:
|
||||
self.show_toast(_("An error occurred while extracting text from the website"), self.main_overlay)
|
||||
|
||||
|
||||
def attach_website(self, url):
|
||||
dialog = Adw.AlertDialog(
|
||||
heading=_("Attach Website? (Experimental)"),
|
||||
body=_("Are you sure you want to attach\n'{}'?").format(url),
|
||||
close_response="cancel"
|
||||
)
|
||||
dialog.add_response("cancel", _("Cancel"))
|
||||
dialog.add_response("accept", _("Accept"))
|
||||
dialog.set_response_appearance("accept", Adw.ResponseAppearance.SUGGESTED)
|
||||
dialog.choose(
|
||||
parent = self,
|
||||
cancellable = None,
|
||||
callback = lambda dialog, task, url=url: attach_website_response(self, dialog, task, url)
|
||||
)
|
||||
2
src/icons/brain-augemnted-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><g fill="#222222"><path d="m 5.976562 2 c 0.546876 0 1 0.453125 1 1 v 10 c 0 0.546875 -0.453124 1 -1 1 h -0.976562 c -1.652344 0 -3 -1.347656 -3 -3 v -6 c 0 -1.652344 1.347656 -3 3 -3 z m -5.976562 3 v 6 c 0 2.765625 2.234375 5 5 5 h 0.976562 c 1.660157 0 3 -1.339844 3 -3 v -10 c 0 -1.660156 -1.339843 -3 -3 -3 h -0.976562 c -2.765625 0 -5 2.234375 -5 5 z m 0 0"/><path d="m 1.488281 8.996094 h 1.511719 c 1.101562 0 1.988281 -0.886719 1.988281 -1.984375 v -0.515625 c 0 -0.273438 -0.222656 -0.5 -0.5 -0.5 c -0.273437 0 -0.5 0.226562 -0.5 0.5 v 0.515625 c 0 0.542969 -0.445312 0.984375 -0.988281 0.984375 h -1.511719 c -0.273437 0 -0.5 0.226562 -0.5 0.5 c 0 0.277344 0.226563 0.5 0.5 0.5 z m 0 0"/><path d="m 7.5 9.992188 h -1.511719 c -1.101562 0 -1.988281 0.886718 -1.988281 1.984374 v 0.515626 c 0 0.273437 0.222656 0.5 0.5 0.5 s 0.5 -0.226563 0.5 -0.5 v -0.515626 c 0 -0.539062 0.445312 -0.984374 0.988281 -0.984374 h 1.511719 c 0.277344 0 0.5 -0.226563 0.5 -0.5 c 0 -0.277344 -0.222656 -0.5 -0.5 -0.5 z m 0 0"/><path d="m 11.015625 14 h -1.035156 c -0.546875 0 -1 -0.453125 -1 -1 v -10 c 0 -0.546875 0.453125 -1 1 -1 h 1.035156 v -2 h -1.035156 c -1.664063 0 -3 1.339844 -3 3 v 10 c 0 1.660156 1.335937 3 3 3 h 1.035156 z m 0 0"/><path d="m 10 5 h 2.242188 l 2.148437 -2.6875 l -0.78125 -0.625 l -2 2.5 l 0.390625 -0.1875 h -2 z m 0 0"/><path d="m 10 11 h 2 l -0.390625 -0.1875 l 2 2.5 l 0.78125 -0.625 l -2.148437 -2.6875 h -2.242188 z m 0 0"/><path d="m 14.488281 1.976562 c -0.265625 0 -0.488281 -0.21875 -0.488281 -0.488281 c 0 -0.265625 0.222656 -0.488281 0.488281 -0.488281 c 0.269531 0 0.488281 0.222656 0.488281 0.488281 c 0 0.269531 -0.21875 0.488281 -0.488281 0.488281 z m 0 -1.976562 c -0.824219 0 -1.488281 0.664062 -1.488281 1.488281 s 0.664062 1.488281 1.488281 1.488281 s 1.488281 -0.664062 1.488281 -1.488281 s -0.664062 -1.488281 -1.488281 -1.488281 z m 0 0"/><path d="m 14.488281 13.976562 c -0.265625 0 -0.488281 -0.21875 -0.488281 -0.488281 c 0 -0.265625 0.222656 -0.488281 0.488281 -0.488281 c 0.269531 0 0.488281 0.222656 0.488281 0.488281 c 0 0.269531 -0.21875 0.488281 -0.488281 0.488281 z m 0 -1.976562 c -0.824219 0 -1.488281 0.664062 -1.488281 1.488281 s 0.664062 1.488281 1.488281 1.488281 s 1.488281 -0.664062 1.488281 -1.488281 s -0.664062 -1.488281 -1.488281 -1.488281 z m 0 0"/><path d="m 14.488281 7.976562 c -0.265625 0 -0.488281 -0.21875 -0.488281 -0.488281 c 0 -0.265625 0.222656 -0.488281 0.488281 -0.488281 c 0.269531 0 0.488281 0.222656 0.488281 0.488281 c 0 0.269531 -0.21875 0.488281 -0.488281 0.488281 z m 0 -1.976562 c -0.824219 0 -1.488281 0.664062 -1.488281 1.488281 s 0.664062 1.488281 1.488281 1.488281 s 1.488281 -0.664062 1.488281 -1.488281 s -0.664062 -1.488281 -1.488281 -1.488281 z m 0 0"/></g><path d="m 10 7.53125 h 4" fill="none" stroke="#222222"/><path d="m 4.5 4 h 3 c 0.277344 0 0.5 0.222656 0.5 0.5 s -0.222656 0.5 -0.5 0.5 h -3 c -0.277344 0 -0.5 -0.222656 -0.5 -0.5 s 0.222656 -0.5 0.5 -0.5 z m 0 0" fill="#222222"/></svg>
|
||||
|
After Width: | Height: | Size: 3.0 KiB |
2
src/icons/chain-link-loose-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><g fill="#222222"><path d="m 2.683594 9.777344 c -1.570313 -0.542969 -2.683594 -2.039063 -2.683594 -3.777344 c 0 -2.199219 1.800781 -4 4 -4 h 3 c 2.199219 0 4 1.800781 4 4 c 0 1.640625 -0.992188 3.070312 -2.421875 3.679688 l -0.785156 -1.839844 c 0.710937 -0.304688 1.207031 -1 1.207031 -1.839844 c 0 -1.125 -0.875 -2 -2 -2 h -3 c -1.125 0 -2 0.875 -2 2 c 0 0.890625 0.558594 1.621094 1.339844 1.890625 z m 0 0"/><path d="m 8 14 c -2.199219 0 -4 -1.800781 -4 -4 c 0 -1.621094 0.96875 -3.03125 2.367188 -3.65625 l 0.816406 1.828125 c -0.699219 0.3125 -1.183594 1 -1.183594 1.828125 c 0 1.125 0.875 2 2 2 h 3 c 1.125 0 2 -0.875 2 -2 c 0 -0.867188 -0.53125 -1.582031 -1.277344 -1.867188 l 0.714844 -1.867187 c 1.503906 0.574219 2.5625 2.039063 2.5625 3.734375 c 0 2.199219 -1.800781 4 -4 4 z m 0 0"/></g></svg>
|
||||
|
After Width: | Height: | Size: 934 B |
4
src/icons/chat-message-new-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 3 1 c -1.644531 0 -3 1.355469 -3 3 v 6 c 0 1.644531 1.355469 3 3 3 h 1 v 3 l 3 -3 v -1 c 0 -0.550781 -0.449219 -1 -1 -1 h -3 c -0.570312 0 -1 -0.429688 -1 -1 v -6 c 0 -0.554688 0.445312 -1 1 -1 h 10 c 0.554688 0 1 0.445312 1 1 v 4 c 0 0.550781 0.449219 1 1 1 s 1 -0.449219 1 -1 v -4 c 0 -1.644531 -1.355469 -3 -3 -3 z m 8 7 v 3 h -3 v 2 h 3 v 3 h 2 v -3 h 3 v -2 h -3 v -3 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 548 B |
4
src/icons/dialog-warning-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 7.90625 0.09375 c -0.527344 -0.0273438 -1.039062 0.28125 -1.4375 0.96875 l -6.25 11.59375 c -0.535156 0.964844 0.046875 2.34375 1.09375 2.34375 h 13.15625 c 0.980469 0 1.902344 -1.160156 1.21875 -2.34375 l -6.3125 -11.53125 c -0.398438 -0.644531 -0.941406 -1.003906 -1.46875 -1.03125 z m 1.09375 3.90625 v 5 c 0.007812 0.527344 -0.472656 1 -1 1 s -1.007812 -0.472656 -1 -1 v -5 z m -1 7 c 0.550781 0 1 0.449219 1 1 s -0.449219 1 -1 1 s -1 -0.449219 -1 -1 s 0.449219 -1 1 -1 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 649 B |
4
src/icons/document-edit-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 12.277344 0.832031 c -0.578125 0.007813 -1.167969 0.230469 -1.691406 0.753907 l -9 9 c -0.375 0.375 -0.585938 0.882812 -0.585938 1.414062 v 3 h 3 c 0.53125 0 1.039062 -0.210938 1.414062 -0.585938 l 9 -9 c 1.789063 -1.789062 0.082032 -4.390624 -1.890624 -4.570312 c -0.082032 -0.011719 -0.164063 -0.011719 -0.246094 -0.011719 z m -1.777344 3.605469 l 1.0625 1.0625 l -7.0625 7.0625 l -1.0625 -1.0625 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 574 B |
7
src/icons/document-open-symbolic.svg
Normal file
@@ -0,0 +1,7 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<g fill="#2e3436">
|
||||
<path d="m 3 1 c -1.644531 0 -3 1.355469 -3 3 v 8 c 0 1.644531 1.355469 3 3 3 h 8.882812 c 0.832032 0 1.578126 -0.402344 2.054688 -0.9375 c 0.472656 -0.53125 0.738281 -1.167969 0.910156 -1.800781 l 0.972656 -2.609375 c 0.390626 -1.449219 -0.09375 -2.652344 -0.820312 -3.167969 c -0.484375 -0.34375 -0.714844 -0.292969 -1 -0.324219 v -1.160156 c 0 -0.855469 -0.558594 -1.589844 -1.09375 -1.828125 c -0.53125 -0.238281 -1.011719 -0.167969 -1.011719 -0.167969 l 0.105469 -0.003906 h -3.585938 l -1.707031 -1.707031 c -0.1875 -0.1875 -0.441406 -0.292969 -0.707031 -0.292969 z m 0 2 h 2.585938 l 1.707031 1.707031 c 0.1875 0.1875 0.441406 0.292969 0.707031 0.292969 h 4 c 0.035156 0 0.070312 -0.003906 0.105469 -0.007812 c 0 0 0.019531 0.019531 -0.011719 0.003906 c -0.035156 -0.011719 -0.09375 -0.25 -0.09375 0.003906 v 2 c 0 0.550781 0.449219 1 1 1 c 1 0 1.046875 0.703125 0.886719 1.128906 l -0.972657 2.609375 c -0.117187 0.4375 -0.296874 0.800781 -0.472656 0.996094 c -0.175781 0.199219 -0.285156 0.265625 -0.558594 0.265625 h -8.882812 c -0.570312 0 -1 -0.429688 -1 -1 v -8 c 0 -0.570312 0.46875 -0.792969 1 -1 z m 0 0"/>
|
||||
<path d="m 7 6 l 0.042969 0.003906 c -0.914063 -0.042968 -1.75 0.390625 -2.195313 0.96875 c -0.710937 1.222656 -1.15625 2.277344 -1.800781 3.71875 c -0.171875 0.523438 0.117187 1.089844 0.640625 1.261719 c 0.527344 0.171875 1.09375 -0.117187 1.261719 -0.640625 c 0.488281 -1.011719 0.921875 -1.816406 1.339843 -2.808594 c 0.210938 -0.503906 0.703126 -0.492187 0.898438 -0.503906 h 5.8125 c 0.550781 0 1 -0.449219 1 -1 s -0.449219 -1 -1 -1 z m 0 0"/>
|
||||
</g>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 1.7 KiB |
2
src/icons/document-text-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><g fill="#222222"><path d="m 9 2 v 5 h 4 v -1 z m -4 2 v 1 h 3 v -1 z m 0 2 v 1 h 3 v -1 z m 0 2 v 1 h 6 v -1 z m 0 2 v 1 h 6 v -1 z m 0 2 v 1 h 6 v -1 z m 0 0"/><path d="m 2 13 c 0 1.660156 1.339844 3 3 3 h 6 c 1.660156 0 3 -1.339844 3 -3 v -6 c 0 -0.90625 -0.359375 -1.773438 -1 -2.414062 l -2.585938 -2.585938 c -0.640624 -0.640625 -1.507812 -1 -2.414062 -1 h -3 c -1.660156 0 -3 1.339844 -3 3 z m 3 -10 h 3 c 0.375 0 0.734375 0.148438 1 0.414062 l 2.585938 2.585938 c 0.265624 0.265625 0.414062 0.625 0.414062 1 v 6 c 0 0.546875 -0.453125 1 -1 1 h -6 c -0.546875 0 -1 -0.453125 -1 -1 v -9 c 0 -0.546875 0.453125 -1 1 -1 z m 0 0"/></g></svg>
|
||||
|
After Width: | Height: | Size: 771 B |
4
src/icons/edit-copy-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 0 3 c 0 -1.644531 1.355469 -3 3 -3 h 5 c 1.644531 0 3 1.355469 3 3 c 0 0.550781 -0.449219 1 -1 1 s -1 -0.449219 -1 -1 c 0 -0.570312 -0.429688 -1 -1 -1 h -5 c -0.570312 0 -1 0.429688 -1 1 v 5 c 0 0.570312 0.429688 1 1 1 c 0.550781 0 1 0.449219 1 1 s -0.449219 1 -1 1 c -1.644531 0 -3 -1.355469 -3 -3 z m 5 5 c 0 -1.644531 1.355469 -3 3 -3 h 5 c 1.644531 0 3 1.355469 3 3 v 5 c 0 1.644531 -1.355469 3 -3 3 h -5 c -1.644531 0 -3 -1.355469 -3 -3 z m 2 0 v 5 c 0 0.570312 0.429688 1 1 1 h 5 c 0.570312 0 1 -0.429688 1 -1 v -5 c 0 -0.570312 -0.429688 -1 -1 -1 h -5 c -0.570312 0 -1 0.429688 -1 1 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 765 B |
4
src/icons/edit-find-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 6.5 0 c -3.578125 0 -6.5 2.921875 -6.5 6.5 s 2.921875 6.5 6.5 6.5 c 1.429688 0 2.753906 -0.46875 3.828125 -1.257812 l 2.945313 2.945312 c 0.957031 0.9375 2.363281 -0.5 1.40625 -1.4375 l -2.929688 -2.929688 c 0.785156 -1.074218 1.25 -2.394531 1.25 -3.820312 c 0 -3.578125 -2.921875 -6.5 -6.5 -6.5 z m 0 2 c 2.496094 0 4.5 2.003906 4.5 4.5 s -2.003906 4.5 -4.5 4.5 s -4.5 -2.003906 -4.5 -4.5 s 2.003906 -4.5 4.5 -4.5 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 590 B |
2
src/icons/edit-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><path d="m 12.277344 0.832031 c -0.578125 0.007813 -1.167969 0.230469 -1.691406 0.753907 l -9 9 c -0.375 0.375 -0.585938 0.882812 -0.585938 1.414062 v 3 h 3 c 0.53125 0 1.039062 -0.210938 1.414062 -0.585938 l 9 -9 c 1.789063 -1.789062 0.082032 -4.390624 -1.890624 -4.570312 c -0.082032 -0.011719 -0.164063 -0.011719 -0.246094 -0.011719 z m -1.777344 3.605469 l 1.0625 1.0625 l -7.0625 7.0625 l -1.0625 -1.0625 z m 0 0" fill="#222222"/></svg>
|
||||
|
After Width: | Height: | Size: 568 B |
4
src/icons/folder-download-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 8 0 c -0.550781 0 -1 0.449219 -1 1 v 8.585938 l -2.292969 -2.292969 c -0.1875 -0.1875 -0.441406 -0.292969 -0.707031 -0.292969 s -0.519531 0.105469 -0.707031 0.292969 c -0.390625 0.390625 -0.390625 1.023437 0 1.414062 l 4 4 c 0.390625 0.390625 1.023437 0.390625 1.414062 0 l 4 -4 c 0.390625 -0.390625 0.390625 -1.023437 0 -1.414062 s -1.023437 -0.390625 -1.414062 0 l -2.292969 2.292969 v -8.585938 c 0 -0.550781 -0.449219 -1 -1 -1 z m -6 14 v 2 h 12 v -2 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 630 B |
2
src/icons/globe-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><path d="m 7.5 0 c -4.128906 0 -7.5 3.371094 -7.5 7.5 s 3.371094 7.5 7.5 7.5 s 7.5 -3.371094 7.5 -7.5 s -3.371094 -7.5 -7.5 -7.5 z m 0 2 c 0.257812 0 0.503906 0.023438 0.75 0.054688 c 0.191406 0.261718 0.382812 0.59375 0.550781 1.027343 c 0.105469 0.277344 0.203125 0.585938 0.289063 0.917969 h -3.179688 c 0.085938 -0.332031 0.183594 -0.640625 0.289063 -0.917969 c 0.167969 -0.433593 0.359375 -0.765625 0.550781 -1.027343 c 0.246094 -0.03125 0.492188 -0.054688 0.75 -0.054688 z m -2.085938 0.40625 c -0.050781 0.109375 -0.105468 0.203125 -0.148437 0.316406 c -0.148437 0.386719 -0.269531 0.820313 -0.378906 1.277344 h -1.617188 c 0.570313 -0.691406 1.296875 -1.246094 2.144531 -1.59375 z m 4.171876 0 c 0.847656 0.347656 1.574218 0.902344 2.144531 1.59375 h -1.617188 c -0.109375 -0.457031 -0.230469 -0.890625 -0.378906 -1.277344 c -0.042969 -0.113281 -0.097656 -0.207031 -0.148437 -0.316406 z m -6.980469 2.59375 h 2.082031 c -0.097656 0.628906 -0.148438 1.300781 -0.167969 2 h -2.480469 c 0.0625 -0.714844 0.253907 -1.390625 0.566407 -2 z m 3.09375 0 h 3.601562 c 0.101563 0.617188 0.15625 1.292969 0.179688 2 h -3.960938 c 0.023438 -0.707031 0.078125 -1.382812 0.179688 -2 z m 4.613281 0 h 2.082031 c 0.3125 0.609375 0.503907 1.285156 0.566407 2 h -2.480469 c -0.019531 -0.699219 -0.070313 -1.371094 -0.167969 -2 z m -8.273438 3 h 2.480469 c 0.019531 0.699219 0.070313 1.375 0.167969 2 h -2.082031 c -0.3125 -0.609375 -0.503907 -1.285156 -0.566407 -2 z m 3.480469 0 h 3.960938 c -0.023438 0.707031 -0.078125 1.382812 -0.179688 2 h -3.601562 c -0.101563 -0.617188 -0.15625 -1.292969 -0.179688 -2 z m 4.960938 0 h 2.480469 c -0.0625 0.714844 -0.253907 1.390625 -0.566407 2 h -2.082031 c 0.097656 -0.625 0.148438 -1.300781 0.167969 -2 z m -7.210938 3 h 1.617188 c 0.109375 0.457031 0.230469 0.890625 0.378906 1.273438 c 0.042969 0.117187 0.097656 0.210937 0.148437 0.320312 c -0.847656 -0.347656 -1.574218 -0.902344 -2.144531 -1.59375 z m 2.640625 0 h 3.179688 c -0.085938 0.332031 -0.183594 0.640625 -0.289063 0.917969 c -0.167969 0.433593 -0.359375 0.765625 -0.550781 1.027343 c -0.246094 0.03125 -0.496094 0.054688 -0.75 0.054688 s -0.503906 -0.023438 -0.75 -0.054688 c -0.191406 -0.261718 -0.382812 -0.59375 -0.550781 -1.027343 c -0.105469 -0.277344 -0.203125 -0.585938 -0.289063 -0.917969 z m 4.203125 0 h 1.617188 c -0.570313 0.691406 -1.296875 1.246094 -2.144531 1.59375 c 0.050781 -0.109375 0.105468 -0.203125 0.148437 -0.320312 c 0.148437 -0.382813 0.269531 -0.816407 0.378906 -1.273438 z m 0 0" fill="#222222"/></svg>
|
||||
|
After Width: | Height: | Size: 2.6 KiB |
4
src/icons/image-missing-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 4 1 c -1.644531 0 -3 1.355469 -3 3 v 1 h 1 v -1 c 0 -1.109375 0.890625 -2 2 -2 h 1 v -1 z m 2 0 v 1 h 4 v -1 z m 5 0 v 1 h 1 c 1.109375 0 2 0.890625 2 2 v 1 h 1 v -1 c 0 -1.644531 -1.355469 -3 -3 -3 z m -5 4 c -0.550781 0 -1 0.449219 -1 1 s 0.449219 1 1 1 s 1 -0.449219 1 -1 s -0.449219 -1 -1 -1 z m -5 1 v 4 h 1 v -4 z m 13 0 v 4 h 1 v -4 z m -4.5 2 l -2 2 l -1.5 -1 l -2 2 v 0.5 c 0 0.5 0.5 0.5 0.5 0.5 h 7 s 0.472656 -0.035156 0.5 -0.5 v -1 z m -8.5 3 v 1 c 0 1.644531 1.355469 3 3 3 h 1 v -1 h -1 c -1.109375 0 -2 -0.890625 -2 -2 v -1 z m 13 0 v 1 c 0 1.109375 -0.890625 2 -2 2 h -1 v 1 h 1 c 1.644531 0 3 -1.355469 3 -3 v -1 z m -8 3 v 1 h 4 v -1 z m 0 0" fill="#2e3434" fill-opacity="0.34902"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 850 B |
7
src/icons/image-x-generic-symbolic.svg
Normal file
@@ -0,0 +1,7 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<g fill="#2e3436">
|
||||
<path d="m 6 5 c -0.550781 0 -1 0.449219 -1 1 s 0.449219 1 1 1 s 1 -0.449219 1 -1 s -0.449219 -1 -1 -1 z m 3.5 3 l -2 2 l -1.5 -1 l -2 2 v 0.5 c 0 0.5 0.5 0.5 0.5 0.5 h 7 s 0.472656 -0.035156 0.5 -0.5 v -1 z m 0 0"/>
|
||||
<path d="m 4 1 c -1.644531 0 -3 1.355469 -3 3 v 8 c 0 1.644531 1.355469 3 3 3 h 8 c 1.644531 0 3 -1.355469 3 -3 v -8 c 0 -1.644531 -1.355469 -3 -3 -3 z m 0 2 h 8 c 0.570312 0 1 0.429688 1 1 v 8 c 0 0.570312 -0.429688 1 -1 1 h -8 c -0.570312 0 -1 -0.429688 -1 -1 v -8 c 0 -0.570312 0.429688 -1 1 -1 z m 0 0"/>
|
||||
</g>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 708 B |
4
src/icons/list-add-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 7 1 v 6 h -6 v 2 h 6 v 6 h 2 v -6 h 6 v -2 h -6 v -6 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 228 B |
4
src/icons/media-playback-stop-symbolic.svg
Normal file
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|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 3.5 2 h 9 c 0.828125 0 1.5 0.671875 1.5 1.5 v 9 c 0 0.828125 -0.671875 1.5 -1.5 1.5 h -9 c -0.828125 0 -1.5 -0.671875 -1.5 -1.5 v -9 c 0 -0.828125 0.671875 -1.5 1.5 -1.5 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 345 B |
8
src/icons/open-menu-symbolic.svg
Normal file
@@ -0,0 +1,8 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<g fill="#2e3436">
|
||||
<path d="m 1 2 h 14 v 2 h -14 z m 0 0"/>
|
||||
<path d="m 1 7 h 14 v 2 h -14 z m 0 0"/>
|
||||
<path d="m 1 12 h 14 v 2 h -14 z m 0 0"/>
|
||||
</g>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 314 B |
2
src/icons/paper-plane-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><path d="m 15 8 l -14 -7 v 6 l 8 1 l -8 1 v 6 z m 0 0" fill="#222222"/></svg>
|
||||
|
After Width: | Height: | Size: 204 B |
2
src/icons/play-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><path d="m 4.003906 4.070312 v 7.859376 c 0 1.070312 0.90625 1.066406 0.90625 1.066406 h 0.09375 c 0.171875 0 0.347656 -0.039063 0.5 -0.125 l 7 -4 c 0.308594 -0.171875 0.46875 -0.523438 0.46875 -0.875 c 0 -0.351563 -0.160156 -0.703125 -0.46875 -0.875 l -7 -4 c -0.152344 -0.085938 -0.328125 -0.125 -0.5 -0.125 h -0.09375 s -0.90625 0 -0.90625 1.074218 z m 0 0" fill="#222222"/></svg>
|
||||
|
After Width: | Height: | Size: 510 B |
2
src/icons/settings-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><path d="m 7.5 1.019531 c -0.550781 0 -0.996094 0.445313 -0.996094 0.996094 v 0.453125 c -0.472656 0.128906 -0.929687 0.320312 -1.355468 0.566406 l -0.324219 -0.324218 c -0.390625 -0.390626 -1.019531 -0.390626 -1.410157 0 l -0.703124 0.707031 c -0.390626 0.390625 -0.390626 1.019531 0 1.410156 l 0.320312 0.320313 c -0.246094 0.425781 -0.433594 0.882812 -0.5625 1.355468 h -0.453125 c -0.550781 0 -0.996094 0.445313 -0.996094 0.996094 v 1 c 0 0.550781 0.445313 0.996094 0.996094 0.996094 h 0.449219 c 0.132812 0.472656 0.320312 0.929687 0.566406 1.355468 l -0.320312 0.320313 c -0.390626 0.390625 -0.390626 1.019531 0 1.410156 l 0.703124 0.707031 c 0.390626 0.390626 1.019532 0.390626 1.410157 0 l 0.320312 -0.320312 c 0.429688 0.242188 0.882813 0.433594 1.359375 0.558594 v 0.457031 c 0 0.550781 0.445313 0.996094 0.996094 0.996094 h 0.996094 c 0.554687 0 1 -0.445313 1 -0.996094 v -0.453125 c 0.472656 -0.128906 0.929687 -0.320312 1.355468 -0.566406 l 0.320313 0.324218 c 0.390625 0.390626 1.019531 0.390626 1.410156 0 l 0.707031 -0.707031 c 0.390626 -0.390625 0.390626 -1.019531 0 -1.410156 l -0.320312 -0.320313 c 0.242188 -0.425781 0.433594 -0.882812 0.558594 -1.355468 h 0.453125 c 0.554687 0 1 -0.445313 1 -0.996094 v -1 c 0 -0.550781 -0.445313 -0.996094 -1 -0.996094 h -0.449219 c -0.128906 -0.472656 -0.320312 -0.929687 -0.566406 -1.355468 l 0.324218 -0.320313 c 0.390626 -0.390625 0.390626 -1.019531 0 -1.410156 l -0.707031 -0.707031 c -0.390625 -0.390626 -1.019531 -0.390626 -1.410156 0 l -0.320313 0.320312 c -0.425781 -0.242188 -0.882812 -0.429688 -1.355468 -0.558594 v -0.457031 c 0 -0.550781 -0.445313 -0.996094 -1 -0.996094 z m 0.515625 3.976563 c 1.660156 0 3 1.34375 3 3 s -1.339844 3 -3 3 c -1.65625 0 -3 -1.34375 -3 -3 s 1.34375 -3 3 -3 z m 0 0" fill="#222222"/></svg>
|
||||
|
After Width: | Height: | Size: 1.9 KiB |
2
src/icons/share-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><g fill="#222222"><path d="m 4 6 h 1 c 0.257812 0 0.527344 -0.128906 0.71875 -0.3125 l 1.28125 -1.28125 v 6.59375 h 2 v -6.59375 l 1.28125 1.28125 c 0.191406 0.183594 0.410156 0.3125 0.71875 0.3125 h 1 v -1 c 0 -0.308594 -0.089844 -0.550781 -0.28125 -0.75 l -3.71875 -3.65625 l -3.71875 3.65625 c -0.191406 0.199219 -0.28125 0.441406 -0.28125 0.75 z m 0 0"/><path d="m 1.007812 11.972656 c 0 1.664063 1.367188 3.035156 3.03125 3.035156 h 7.917969 c 1.664063 0 3.03125 -1.371093 3.03125 -3.035156 v -1.972656 h -2 v 1.972656 c 0 0.589844 -0.441406 1.035156 -1.03125 1.035156 h -7.917969 c -0.589843 0 -1.03125 -0.445312 -1.03125 -1.035156 v -1.972656 h -2 z m 0 0"/><path d="m 4.039062 6.96875 c -1.664062 0 -3.03125 1.367188 -3.03125 3.03125 v 1.976562 h 2 v -1.976562 c 0 -0.589844 0.441407 -1.03125 1.03125 -1.03125 h 0.960938 v -2 z m 6.960938 0 v 2 h 0.957031 c 0.589844 0 1.03125 0.441406 1.03125 1.03125 v 1.976562 h 2 v -1.976562 c 0 -1.664062 -1.367187 -3.03125 -3.03125 -3.03125 z m 0 0"/></g></svg>
|
||||
|
After Width: | Height: | Size: 1.1 KiB |
8
src/icons/sidebar-show-symbolic.svg
Normal file
@@ -0,0 +1,8 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<g fill="#2e3436">
|
||||
<path d="m 6.5 14 v -12 h -5 v 12 z m 0 0" fill-opacity="0.34902"/>
|
||||
<path d="m 3 1 c -1.644531 0 -3 1.355469 -3 3 v 8 c 0 1.644531 1.355469 3 3 3 h 10 c 1.644531 0 3 -1.355469 3 -3 v -8 c 0 -1.644531 -1.355469 -3 -3 -3 z m 0 2 h 10 c 0.570312 0 1 0.429688 1 1 v 8 c 0 0.570312 -0.429688 1 -1 1 h -10 c -0.570312 0 -1 -0.429688 -1 -1 v -8 c 0 -0.570312 0.429688 -1 1 -1 z m 0 0"/>
|
||||
<path d="m 6 2 h 1 v 12 h -1 z m 0 0"/>
|
||||
</g>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 610 B |
2
src/icons/step-back-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><g fill="#222222"><path d="m 9 2.933594 c 4.042969 0 5.890625 3.613281 5.890625 3.613281 l -1.785156 0.902344 s -1.246094 -2.515625 -4.105469 -2.515625 c -2.054688 0 -3.097656 1.394531 -3.484375 2.074218 h 0.910156 c 1.332031 0 1.574219 1.253907 1.574219 2.035157 l -6 -0.046875 l -0.046875 -6 c 1.046875 0 2.035156 0.523437 2.035156 1.667968 v 0.929688 l 0.0625 0.0625 c 0.757813 -1.089844 2.3125 -2.722656 4.949219 -2.722656 z m 0 0"/><path d="m 13.617188 8.996094 c 0.683593 0 1.265624 0.582031 1.265624 1.265625 v 3.46875 c 0 0.683593 -0.582031 1.265625 -1.265624 1.265625 h -3.46875 c -0.683594 0 -1.265626 -0.582032 -1.265626 -1.265625 v -3.46875 c 0 -0.683594 0.582032 -1.265625 1.265626 -1.265625 z m -0.734376 2 h -2 v 2 h 2 z m 0 0"/></g></svg>
|
||||
|
After Width: | Height: | Size: 881 B |
2
src/icons/step-over-symbolic.svg
Normal file
@@ -0,0 +1,2 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" height="16px" viewBox="0 0 16 16" width="16px"><g fill="#222222"><path d="m 7 2.933594 c -4.042969 0 -5.894531 3.613281 -5.894531 3.613281 l 1.785156 0.902344 s 1.25 -2.515625 4.109375 -2.515625 c 2.054688 0 3.097656 1.394531 3.484375 2.074218 h -0.910156 c -1.332031 0 -1.574219 1.253907 -1.574219 2.035157 l 6 -0.046875 l 0.042969 -6 c -1.042969 0 -2.03125 0.523437 -2.03125 1.667968 v 0.929688 l -0.0625 0.0625 c -0.757813 -1.089844 -2.316407 -2.722656 -4.949219 -2.722656 z m 0 0"/><path d="m 2.382812 8.996094 c -0.683593 0 -1.265624 0.582031 -1.265624 1.265625 v 3.46875 c 0 0.683593 0.582031 1.265625 1.265624 1.265625 h 3.46875 c 0.683594 0 1.265626 -0.582032 1.265626 -1.265625 v -3.46875 c 0 -0.683594 -0.582032 -1.265625 -1.265626 -1.265625 z m 0.734376 2 h 2 v 2 h -2 z m 0 0"/></g></svg>
|
||||
|
After Width: | Height: | Size: 880 B |
10
src/icons/user-trash-symbolic.svg
Normal file
@@ -0,0 +1,10 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<g fill="#2e3436">
|
||||
<path d="m 1 3 h 14 c 0.550781 0 1 0.449219 1 1 s -0.449219 1 -1 1 h -14 c -0.550781 0 -1 -0.449219 -1 -1 s 0.449219 -1 1 -1 z m 0 0"/>
|
||||
<path d="m 4 4 v -1.5 c 0 -1.386719 1.113281 -2.5 2.5 -2.5 h 2.980469 c 1.382812 0 2.5 1.113281 2.5 2.5 v 1.5 h -2 v -1.5 c 0 -0.269531 -0.230469 -0.5 -0.5 -0.5 h -2.980469 c -0.269531 0 -0.5 0.230469 -0.5 0.5 v 1.5 z m 0 0"/>
|
||||
<path d="m 4 4 v 9 c 0 0.546875 0.453125 1 1 1 h 6 c 0.546875 0 1 -0.453125 1 -1 v -9 h 2 v 9 c 0 1.660156 -1.339844 3 -3 3 h -6 c -1.660156 0 -3 -1.339844 -3 -3 v -9 z m 0 0"/>
|
||||
<path d="m 7 7 v 5 c 0 0.277344 -0.222656 0.5 -0.5 0.5 s -0.5 -0.222656 -0.5 -0.5 v -5 c 0 -0.277344 0.222656 -0.5 0.5 -0.5 s 0.5 0.222656 0.5 0.5 z m 0 0"/>
|
||||
<path d="m 10 7 v 5 c 0 0.277344 -0.222656 0.5 -0.5 0.5 s -0.5 -0.222656 -0.5 -0.5 v -5 c 0 -0.277344 0.222656 -0.5 0.5 -0.5 s 0.5 0.222656 0.5 0.5 z m 0 0"/>
|
||||
</g>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 1.0 KiB |
4
src/icons/view-more-symbolic.svg
Normal file
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg height="16px" viewBox="0 0 16 16" width="16px" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="m 7.996094 0 c -1.105469 0 -2 0.894531 -2 2 s 0.894531 2 2 2 c 1.101562 0 2 -0.894531 2 -2 s -0.898438 -2 -2 -2 z m 0 6 c -1.105469 0 -2 0.894531 -2 2 s 0.894531 2 2 2 c 1.101562 0 2 -0.894531 2 -2 s -0.898438 -2 -2 -2 z m 0 6 c -1.105469 0 -2 0.894531 -2 2 s 0.894531 2 2 2 c 1.101562 0 2 -0.894531 2 -2 s -0.898438 -2 -2 -2 z m 0 0" fill="#2e3436"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 499 B |
39
src/local_instance.py
Normal file
@@ -0,0 +1,39 @@
|
||||
# local_instance.py
|
||||
import subprocess, os, threading
|
||||
from time import sleep
|
||||
from logging import getLogger
|
||||
|
||||
|
||||
logger = getLogger(__name__)
|
||||
|
||||
instance = None
|
||||
port = 11435
|
||||
data_dir = os.getenv("XDG_DATA_HOME")
|
||||
overrides = {}
|
||||
|
||||
def start():
|
||||
global instance, overrides
|
||||
params = overrides.copy()
|
||||
params["OLLAMA_HOST"] = f"127.0.0.1:{port}" # You can't change this directly sorry :3
|
||||
params["HOME"] = data_dir
|
||||
instance = subprocess.Popen(["/app/bin/ollama", "serve"], env={**os.environ, **params}, stderr=subprocess.PIPE, text=True)
|
||||
logger.info("Starting Alpaca's Ollama instance...")
|
||||
logger.debug(params)
|
||||
sleep(1)
|
||||
logger.info("Started Alpaca's Ollama instance")
|
||||
|
||||
def stop():
|
||||
logger.info("Stopping Alpaca's Ollama instance")
|
||||
global instance
|
||||
if instance:
|
||||
instance.terminate()
|
||||
instance.wait()
|
||||
instance = None
|
||||
logger.info("Stopped Alpaca's Ollama instance")
|
||||
|
||||
def reset():
|
||||
logger.info("Resetting Alpaca's Ollama instance")
|
||||
stop()
|
||||
sleep(1)
|
||||
start()
|
||||
|
||||
35
src/main.py
@@ -1,6 +1,6 @@
|
||||
# main.py
|
||||
#
|
||||
# Copyright 2024 Unknown
|
||||
# Copyright 2024 Jeffser
|
||||
#
|
||||
# This program is free software: you can redistribute it and/or modify
|
||||
# it under the terms of the GNU General Public License as published by
|
||||
@@ -18,14 +18,19 @@
|
||||
# SPDX-License-Identifier: GPL-3.0-or-later
|
||||
|
||||
import sys
|
||||
import logging
|
||||
import gi
|
||||
|
||||
gi.require_version('Gtk', '4.0')
|
||||
gi.require_version('Adw', '1')
|
||||
|
||||
from gi.repository import Gtk, Gio, Adw
|
||||
from gi.repository import Gtk, Gio, Adw, GLib
|
||||
from .window import AlpacaWindow
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class AlpacaApplication(Adw.Application):
|
||||
"""The main application singleton class."""
|
||||
|
||||
@@ -33,9 +38,9 @@ class AlpacaApplication(Adw.Application):
|
||||
super().__init__(application_id='com.jeffser.Alpaca',
|
||||
flags=Gio.ApplicationFlags.DEFAULT_FLAGS)
|
||||
self.create_action('quit', lambda *_: self.quit(), ['<primary>q'])
|
||||
self.create_action('clear', lambda *_: AlpacaWindow.clear_conversation_dialog(self.props.active_window), ['<primary>e'])
|
||||
self.create_action('reconnect', lambda *_: AlpacaWindow.show_connection_dialog(self.props.active_window), ['<primary>r'])
|
||||
self.create_action('preferences', lambda *_: AlpacaWindow.show_preferences_dialog(self.props.active_window), ['<primary>p'])
|
||||
self.create_action('about', self.on_about_action)
|
||||
self.version = '1.0.0'
|
||||
|
||||
def do_activate(self):
|
||||
win = self.props.active_window
|
||||
@@ -44,17 +49,20 @@ class AlpacaApplication(Adw.Application):
|
||||
win.present()
|
||||
|
||||
def on_about_action(self, widget, _):
|
||||
about = Adw.AboutWindow(transient_for=self.props.active_window,
|
||||
about = Adw.AboutDialog(#transient_for=self.props.active_window,
|
||||
application_name='Alpaca',
|
||||
application_icon='com.jeffser.Alpaca',
|
||||
developer_name='Jeffry Samuel Eduarte Rojas',
|
||||
version='0.2.2',
|
||||
version=self.version,
|
||||
support_url="https://github.com/Jeffser/Alpaca/discussions/155",
|
||||
developers=['Jeffser https://jeffser.com'],
|
||||
designers=['Jeffser https://jeffser.com'],
|
||||
translator_credits='Alex K (Russian) https://github.com/alexkdeveloper',
|
||||
copyright='© 2024 Jeffser',
|
||||
issue_url='https://github.com/Jeffser/Alpaca/issues')
|
||||
about.present()
|
||||
designers=['Jeffser https://jeffser.com', 'Tobias Bernard (App Icon) https://tobiasbernard.com/'],
|
||||
translator_credits='Alex K (Russian) https://github.com/alexkdeveloper\nJeffser (Spanish) https://jeffser.com\nDaimar Stein (Brazilian Portuguese) https://github.com/not-a-dev-stein\nLouis Chauvet-Villaret (French) https://github.com/loulou64490\nCounterFlow64 (Norwegian) https://github.com/CounterFlow64\nAritra Saha (Bengali) https://github.com/olumolu\nYuehao Sui (Simplified Chinese) https://github.com/8ar10der',
|
||||
copyright='© 2024 Jeffser\n© 2024 Ollama',
|
||||
issue_url='https://github.com/Jeffser/Alpaca/issues',
|
||||
license_type=3,
|
||||
website="https://jeffser.com/alpaca")
|
||||
about.present(parent=self.props.active_window)
|
||||
|
||||
def create_action(self, name, callback, shortcuts=None):
|
||||
action = Gio.SimpleAction.new(name, None)
|
||||
@@ -65,5 +73,10 @@ class AlpacaApplication(Adw.Application):
|
||||
|
||||
|
||||
def main(version):
|
||||
logging.basicConfig(
|
||||
format="%(levelname)s\t[%(filename)s | %(funcName)s] %(message)s",
|
||||
level=logging.INFO
|
||||
)
|
||||
app = AlpacaApplication()
|
||||
logger.info(f"Alpaca version: {app.version}")
|
||||
return app.run(sys.argv)
|
||||
|
||||
@@ -26,12 +26,24 @@ configure_file(
|
||||
install_mode: 'r-xr-xr-x'
|
||||
)
|
||||
|
||||
#configure_file(
|
||||
#input: 'alpaca_search_provider.in',
|
||||
#output: 'alpaca_search_provider',
|
||||
#configuration: conf,
|
||||
#install: true,
|
||||
#install_dir: get_option('bindir'),
|
||||
#install_mode: 'r-xr-xr-x'
|
||||
#)
|
||||
|
||||
alpaca_sources = [
|
||||
'__init__.py',
|
||||
'main.py',
|
||||
'window.py',
|
||||
'connection_handler.py',
|
||||
'available_models.py',
|
||||
'dialogs.py',
|
||||
'local_instance.py',
|
||||
'available_models.json',
|
||||
'available_models_descriptions.py'
|
||||
]
|
||||
|
||||
install_data(alpaca_sources, install_dir: moduledir)
|
||||
|
||||
14
src/style.css
Normal file
@@ -0,0 +1,14 @@
|
||||
.message_input_scroll_window > * {
|
||||
box-shadow: none;
|
||||
border-width: 0;
|
||||
}
|
||||
.message_text_view {
|
||||
background-color: rgba(0,0,0,0);
|
||||
}
|
||||
.chat_image_button {
|
||||
padding: 0;
|
||||
}
|
||||
.editing_message_textview {
|
||||
border-radius: 5px;
|
||||
padding: 5px;
|
||||
}
|
||||
1792
src/window.py
1296
src/window.ui
9
update_available_models_description.py
Normal file
@@ -0,0 +1,9 @@
|
||||
import json
|
||||
with open('src/available_models.json', 'r') as f:
|
||||
data = json.load(f)
|
||||
results = 'descriptions = {\n'
|
||||
for key, value in data.items():
|
||||
results += f" '{key}': _(\"{value['description']}\"),\n"
|
||||
results += '}'
|
||||
with open('src/available_models_descriptions.py', 'w+') as f:
|
||||
f.write(results)
|
||||
18
update_translation_files.sh
Executable file
@@ -0,0 +1,18 @@
|
||||
#!/usr/bin/env bash
|
||||
cd "$(dirname "$0")"
|
||||
echo "Preparing template..."
|
||||
xgettext --output=po/alpaca.pot --files-from=po/POTFILES
|
||||
echo "Updating Spanish..."
|
||||
msgmerge --no-fuzzy-matching -U po/es.po po/alpaca.pot
|
||||
echo "Updating Russian..."
|
||||
msgmerge --no-fuzzy-matching -U po/ru.po po/alpaca.pot
|
||||
echo "Updating French"
|
||||
msgmerge --no-fuzzy-matching -U po/fr.po po/alpaca.pot
|
||||
echo "Updating Brazilian Portuguese"
|
||||
msgmerge --no-fuzzy-matching -U po/pt_BR.po po/alpaca.pot
|
||||
echo "Updating Norwegian"
|
||||
msgmerge --no-fuzzy-matching -U po/nb_NO.po po/alpaca.pot
|
||||
echo "Updating Bengali"
|
||||
msgmerge --no-fuzzy-matching -U po/bn.po po/alpaca.pot
|
||||
echo "Updating Simplified Chinese"
|
||||
msgmerge --no-fuzzy-matching -U po/zh_CN.po po/alpaca.pot
|
||||