67 Commits
2.0.3 ... 2.5.1

Author SHA1 Message Date
jeffser
7f042a906d Much better markup rendering 2024-10-09 21:31:08 -06:00
jeffser
ff5e663185 Update spanish 2024-10-09 21:07:20 -06:00
jeffser
9d0daea052 Languages updated 2024-10-09 21:05:44 -06:00
jeffser
31a10ee7d6 Added note 2024-10-09 21:05:23 -06:00
jeffser
38abd208ff Much better message block rendering 2024-10-09 20:48:04 -06:00
jeffser
c34713eff5 Preparing for 2.5.1 2024-10-09 20:02:18 -06:00
jeffser
d55aaf19a2 Nah, I'll leave then sudo thing 2024-10-09 12:51:02 -06:00
jeffser
9f4b6faf28 Remove sudo 2024-10-09 12:49:02 -06:00
jeffser
57184f0a5c Remove digests when canceling the download of a model 2024-10-09 10:46:16 -06:00
jeffser
df568c7217 Verify image recognition only at launch 2024-10-09 10:13:00 -06:00
jeffser
ed440d8935 New icon 2024-10-08 19:27:01 -06:00
jeffser
70c183c71d Rewritten edit system (cancel and save buttons) 2024-10-08 19:26:51 -06:00
jeffser
b44d457bc5 Removed unused variable 2024-10-08 19:01:38 -06:00
aritra saha
15e4bbb62f Update hi.po (#342) 2024-10-08 15:46:45 -06:00
aritra saha
5d95ba1c15 Update bn.po (#341) 2024-10-08 15:46:29 -06:00
jeffser
7e81200f80 Forgot to remove this permission 2024-10-07 13:04:45 -06:00
jeffser
b952fa07b5 Replaced sudo with pkexec in custom scripts 2024-10-07 13:01:12 -06:00
jeffser
15bd4335e8 Use system for terminal if it is allowed to 2024-10-07 12:33:35 -06:00
jeffser
d79a1236a0 Updated spanish 2024-10-07 10:40:02 -06:00
jeffser
ce11a308bf Update languages 2024-10-07 10:38:39 -06:00
jeffser
aa1fbcebe7 Copy shortcut 2024-10-07 10:37:14 -06:00
jeffser
efbfb1e82a Change warning so that it only appears with bash scripts 2024-10-07 10:16:31 -06:00
jeffser
f497f1c5dc Styling 2024-10-07 10:10:20 -06:00
jeffser
9ecf231307 Use venv for running python scripts 2024-10-07 10:02:39 -06:00
jeffser
66a9627b29 Better styling for terminal 2024-10-07 02:17:34 -06:00
jeffser
f03c01b6a6 Better dimensions for terminal 2024-10-07 02:07:17 -06:00
jeffser
29a5251d63 Virtual terminal! 2024-10-07 02:02:27 -06:00
jeffser
fcb956ff23 Removed flatpak permission 2024-10-07 01:11:08 -06:00
jeffser
363fb882f3 Updated Spanish 2024-10-06 23:37:48 -06:00
jeffser
e24cbb65b1 Updated languages 2024-10-06 23:26:47 -06:00
jeffser
cf4d37a1c0 Preparing for 2.5.0 2024-10-06 23:26:22 -06:00
jeffser
6394569b3b New models! 2024-10-06 23:26:08 -06:00
jeffser
e6c855fcf9 Updated Ollama to 0.3.12 2024-10-06 23:04:43 -06:00
jeffser
c00061f46b Proper python support 2024-10-06 22:41:05 -06:00
jeffser
67d572bd64 Even better code block detection 2024-10-06 22:23:37 -06:00
jeffser
06769aba90 Fixed codeblock detection when it doesn't have a language 2024-10-06 22:21:42 -06:00
jeffser
f5845e95e6 Added compatibility with python scripts 2024-10-06 22:16:06 -06:00
jeffser
4d529619d6 Better recognition for code blocks 2024-10-06 22:03:33 -06:00
jeffser
95561f205c Faster and well organized launch 2024-10-06 21:42:08 -06:00
jeffser
e855466280 Modified script running 2024-10-06 21:16:32 -06:00
jeffser
c1c30c993c Run Bash scripts on a terminal straight from chat :D 2024-10-06 21:13:00 -06:00
jeffser
7da70097f2 Fixed bug with text messages being loaded at launch 2024-10-06 19:24:32 -06:00
jeffser
01b6ae6bee added italian template 2024-10-06 16:07:07 -06:00
jeffser
9c1e0ea263 Added GSK_RENDERER=ngl 2024-10-03 15:53:19 -06:00
jeffser
22116b0d1e Preparing for 2.0.6 2024-09-29 16:10:36 -06:00
jeffser
03d92de88b Merge branch 'main' of github.com-jeffser:Jeffser/Alpaca 2024-09-29 16:07:19 -06:00
jeffser
0be0942da3 Fix: Text rendering causing crash because of notification being in a different thread 2024-09-29 16:07:12 -06:00
Jeffry Samuel
b488b64473 Added instructions for Snap 2024-09-25 14:20:57 -06:00
jeffser
56eac5ccd6 Removed unnecesary line from release notes 2024-09-25 13:50:54 -06:00
jeffser
ad5d6dfa41 Preparing for 2.0.5 2024-09-25 13:50:32 -06:00
Jeffry Samuel
c4fb424514 Removed tag from Snap 2024-09-25 13:23:40 -06:00
সৌম্যদীপ ঘোষ
28e09d5c2e snap: improve the snap (#318)
1. cleaned up the manifest
2. added arm64 support
2024-09-25 12:21:01 -06:00
jeffser
633507fecd Quick fix to message generation 2024-09-25 09:34:12 -06:00
jeffser
5f3c01d231 Preparing for 2.0.4 2024-09-22 15:08:40 -06:00
jeffser
4851b7858b Merge branch 'main' of github.com-jeffser:Jeffser/Alpaca 2024-09-22 15:03:30 -06:00
jeffser
d4f359bba7 Update Ollama to v0.3.11 2024-09-22 15:02:47 -06:00
jeffser
40afce9fb0 New models added to list 2024-09-22 14:55:38 -06:00
ProjectMoon
61d2e7c7a0 Use show API to detect vision. (#316)
* Use show API to detect vision.

* Update so it actually works.

* Removed Cache

---------

Co-authored-by: Jeffry Samuel <jeffrysamuer@gmail.com>
2024-09-21 16:39:22 -06:00
jeffser
0cb1891d9e Added Telugu officialy 2024-09-21 16:29:38 -06:00
jeffser
5bd55843db Merge branch 'main' of github.com-jeffser:Jeffser/Alpaca 2024-09-21 15:50:44 -06:00
jeffser
5150fd769a Message search (yeah finally) 2024-09-21 15:50:38 -06:00
Aryan Karamtoth
d5eea3397c Added te.po - Telugu Translation (#320)
* Added te.po - Telugu Translation

* Update te.po
2024-09-21 15:01:23 -06:00
Louis Chauvet-Villaret
11b0b6a8d7 hop, fr updated (#319) 2024-09-21 15:00:53 -06:00
aritra saha
ecc93cda78 Update bn.po hi.po (#309)
* Update bn.po

* Update hi.po
2024-09-19 20:00:08 -06:00
jeffser
3653af7b81 Fixed model manager with accessibility large text on (wip) 2024-09-18 18:10:47 -06:00
jeffser
bed097c760 Merge branch 'main' of github.com-jeffser:Jeffser/Alpaca 2024-09-18 17:47:13 -06:00
jeffser
f8d18afd13 Fixed right click on messages sometimes crashes app 2024-09-18 17:45:21 -06:00
38 changed files with 29075 additions and 18710 deletions

View File

@@ -45,6 +45,14 @@ You can find the latest stable version of the app on [Flathub](https://flathub.o
Everytime a new version is published they become available on the [releases page](https://github.com/Jeffser/Alpaca/releases) of the repository
### Snap Package
You can also find the Snap package on the [releases page](https://github.com/Jeffser/Alpaca/releases), to install it run this command:
```BASH
sudo snap install ./{package name} --dangerous
```
The `--dangerous` comes from the package being installed without any involvement of the SnapStore, I'm working on getting the app there, but for now you can test the app this way.
### Building Git Version
Note: This is not recommended since the prerelease versions of the app often present errors and general instability.
@@ -69,6 +77,7 @@ Language | Contributors
🇺🇦 Ukrainian | [Simon](https://github.com/OriginalSimon)
🇩🇪 German | [Marcel Margenberg](https://github.com/MehrzweckMandala)
🇮🇱 Hebrew | [Yosef Or Boczko](https://github.com/yoseforb)
🇮🇳 Telugu | [Aryan Karamtoth](https://github.com/SpaciousCoder78)
Want to add a language? Visit [this discussion](https://github.com/Jeffser/Alpaca/discussions/153) to get started!

View File

@@ -11,7 +11,8 @@
"--device=all",
"--socket=wayland",
"--filesystem=/sys/module/amdgpu:ro",
"--env=LD_LIBRARY_PATH=/app/lib:/usr/lib/x86_64-linux-gnu/GL/default/lib:/usr/lib/x86_64-linux-gnu/openh264/extra:/usr/lib/x86_64-linux-gnu/openh264/extra:/usr/lib/sdk/llvm15/lib:/usr/lib/x86_64-linux-gnu/GL/default/lib:/usr/lib/ollama:/app/plugins/AMD/lib/ollama"
"--env=LD_LIBRARY_PATH=/app/lib:/usr/lib/x86_64-linux-gnu/GL/default/lib:/usr/lib/x86_64-linux-gnu/openh264/extra:/usr/lib/x86_64-linux-gnu/openh264/extra:/usr/lib/sdk/llvm15/lib:/usr/lib/x86_64-linux-gnu/GL/default/lib:/usr/lib/ollama:/app/plugins/AMD/lib/ollama",
"--env=GSK_RENDERER=ngl"
],
"add-extensions": {
"com.jeffser.Alpaca.Plugins": {
@@ -134,16 +135,16 @@
"sources": [
{
"type": "archive",
"url": "https://github.com/ollama/ollama/releases/download/v0.3.9/ollama-linux-amd64.tgz",
"sha256": "b0062fbccd46134818d9d59cfa3867ad6849163653cb1171bc852c5f379b0851",
"url": "https://github.com/ollama/ollama/releases/download/v0.3.12/ollama-linux-amd64.tgz",
"sha256": "f0efa42f7ad77cd156bd48c40cd22109473801e5113173b0ad04f094a4ef522b",
"only-arches": [
"x86_64"
]
},
{
"type": "archive",
"url": "https://github.com/ollama/ollama/releases/download/v0.3.9/ollama-linux-arm64.tgz",
"sha256": "8979484bcb1448ab9b45107fbcb3b9f43c2af46f961487449b9ebf3518cd70eb",
"url": "https://github.com/ollama/ollama/releases/download/v0.3.12/ollama-linux-arm64.tgz",
"sha256": "da631cbe4dd2c168dae58d6868b1ff60e881e050f2d07578f2f736e689fec04c",
"only-arches": [
"aarch64"
]
@@ -166,6 +167,18 @@
}
]
},
{
"name": "vte",
"buildsystem": "meson",
"config-opts": ["-Dvapi=false"],
"sources": [
{
"type": "archive",
"url": "https://gitlab.gnome.org/GNOME/vte/-/archive/0.78.0/vte-0.78.0.tar.gz",
"sha256": "82e19d11780fed4b66400f000829ce5ca113efbbfb7975815f26ed93e4c05f2d"
}
]
},
{
"name" : "alpaca",
"builddir" : true,

View File

@@ -78,6 +78,74 @@
<url type="contribute">https://github.com/Jeffser/Alpaca/discussions/154</url>
<url type="vcs-browser">https://github.com/Jeffser/Alpaca</url>
<releases>
<release version="2.5.1" date="2024-10-09">
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/2.5.1</url>
<description>
<p>New</p>
<ul>
<li>Added 'Cancel' and 'Save' buttons when editing a message</li>
</ul>
<p>Fixes</p>
<ul>
<li>Better handling of image recognition</li>
<li>Remove unused files when canceling a model download</li>
<li>Better message blocks rendering</li>
</ul>
</description>
</release>
<release version="2.5.0" date="2024-10-06">
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/2.5.0</url>
<description>
<p>New</p>
<ul>
<li>Run bash and python scripts straight from chat</li>
<li>Updated Ollama to 0.3.12</li>
<li>New models!</li>
</ul>
<p>Fixes</p>
<ul>
<li>Fixed and made faster the launch sequence</li>
<li>Better detection of code blocks in messages</li>
<li>Fixed app not loading in certain setups with Nvidia GPUs</li>
</ul>
</description>
</release>
<release version="2.0.6" date="2024-09-29">
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/2.0.6</url>
<description>
<p>Fixes</p>
<ul>
<li>Fixed message notification sometimes crashing text rendering because of them running on different threads</li>
</ul>
</description>
</release>
<release version="2.0.5" date="2024-09-25">
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/2.0.5</url>
<description>
<p>Fixes</p>
<ul>
<li>Fixed message generation sometimes failing</li>
</ul>
</description>
</release>
<release version="2.0.4" date="2024-09-22">
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/2.0.4</url>
<description>
<p>New</p>
<ul>
<li>Sidebar resizes with the window</li>
<li>New welcome dialog</li>
<li>Message search</li>
<li>Updated Ollama to v0.3.11</li>
<li>A lot of new models provided by Ollama repository</li>
</ul>
<p>Fixes</p>
<ul>
<li>Fixed text inside model manager when the accessibility option 'large text' is on</li>
<li>Fixed image recognition on unsupported models</li>
</ul>
</description>
</release>
<release version="2.0.3" date="2024-09-18">
<url type="details">https://github.com/Jeffser/Alpaca/releases/tag/2.0.3</url>
<description>

View File

@@ -1,5 +1,5 @@
project('Alpaca', 'c',
version: '2.0.3',
version: '2.5.1',
meson_version: '>= 0.62.0',
default_options: [ 'warning_level=2', 'werror=false', ],
)

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@@ -10,3 +10,4 @@ tr
uk
de
he
te

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1978
po/bn.po

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@@ -1,9 +0,0 @@
[Desktop Entry]
Name=alpaca
Exec=alpaca
Icon=${SNAP}/meta/gui/com.jeffser.Alpaca.svg
Terminal=false
Type=Application
Categories=Utility;Development;Chat;
Keywords=ai;ollama;llm
X-Purism-FormFactor=Workstation;Mobile;

View File

@@ -1,150 +0,0 @@
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<svg
height="128px"
viewBox="0 0 128 128"
width="128px"
version="1.1"
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sodipodi:docname="com.jeffser.Alpaca.svg"
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inkscape:showpageshadow="2"
inkscape:pageopacity="0.0"
inkscape:pagecheckerboard="0"
inkscape:deskcolor="#d1d1d1"
inkscape:zoom="6.65625"
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inkscape:window-width="1920"
inkscape:window-height="1011"
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Before

Width:  |  Height:  |  Size: 6.7 KiB

View File

@@ -1,14 +1,10 @@
name: alpaca
base: core24
adopt-info: alpaca
summary: An Ollama client made with GTK4 and Adwaita
description: |
Alpaca is an 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.
platforms:
amd64:
arm64:
confinement: strict
grade: stable
@@ -23,21 +19,14 @@ slots:
apps:
alpaca:
command: usr/bin/alpaca
desktop: meta/gui/alpaca.desktop
common-id: com.jeffser.Alpaca
extensions:
- gnome
plugs:
- network
- network-bind
- desktop
- desktop-legacy
- wayland
- opengl
- home
- removable-media
slots:
- dbus-alpaca
ollama:
command: bin/ollama
@@ -46,7 +35,6 @@ apps:
- removable-media
- network
- network-bind
- opengl
ollama-daemon:
command: bin/ollama serve
@@ -58,7 +46,6 @@ apps:
- removable-media
- network
- network-bind
- opengl
parts:
# Python dependencies
@@ -75,37 +62,31 @@ parts:
# Ollama plugin
ollama:
plugin: dump
source: https://github.com/ollama/ollama/releases/download/v0.3.10/ollama-linux-amd64.tgz
source:
- on amd64: https://github.com/ollama/ollama/releases/download/v0.3.10/ollama-linux-amd64.tgz
- on arm64: https://github.com/ollama/ollama/releases/download/v0.3.10/ollama-linux-arm64.tgz
# Alpaca app
alpaca:
plugin: meson
source-type: git
source: https://github.com/Jeffser/Alpaca.git
source-tag: '2.0.2'
source-depth: 1
meson-parameters:
- --prefix=/snap/alpaca/current/usr
build-packages:
- meson
- ninja-build
- pkg-config
- libcairo2-dev
- libgtk-3-dev
- libglib2.0-dev
- gettext
- desktop-file-utils
- appstream
override-pull: |
craftctl default
craftctl set version=$(git describe --tags --abbrev=0)
override-build: |
craftctl default
sed -i '1c#!/usr/bin/env python3' $CRAFT_PART_INSTALL/snap/alpaca/current/usr/bin/alpaca
stage-packages:
- libnuma1
parse-info:
- usr/share/metainfo/com.jeffser.Alpaca.metainfo.xml
organize:
snap/alpaca/current/usr: usr
snap/alpaca/current: .
after: [python-deps]
deps:
plugin: nil
after: [alpaca]
stage-packages:
- libnuma1
prime:
- usr/lib/*/libnuma.so.1*

View File

@@ -31,6 +31,8 @@
<file alias="icons/scalable/status/update-symbolic.svg">icons/update-symbolic.svg</file>
<file alias="icons/scalable/status/down-symbolic.svg">icons/down-symbolic.svg</file>
<file alias="icons/scalable/status/chat-bubble-text-symbolic.svg">icons/chat-bubble-text-symbolic.svg</file>
<file alias="icons/scalable/status/execute-from-symbolic.svg">icons/execute-from-symbolic.svg</file>
<file alias="icons/scalable/status/cross-large-symbolic.svg">icons/cross-large-symbolic.svg</file>
<file preprocess="xml-stripblanks">window.ui</file>
<file preprocess="xml-stripblanks">gtk/help-overlay.ui</file>
</gresource>

File diff suppressed because it is too large Load Diff

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@@ -1,11 +1,13 @@
descriptions = {
'llama3.2': _("Meta's Llama 3.2 goes small with 1B and 3B models."),
'llama3.1': _("Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes."),
'gemma2': _("Google Gemma 2 is a high-performing and efficient model by now available in three sizes: 2B, 9B, and 27B."),
'gemma2': _("Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B."),
'qwen2.5': _("Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support."),
'phi3.5': _("A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models."),
'nemotron-mini': _("A commercial-friendly small language model by NVIDIA optimized for roleplay, RAG QA, and function calling."),
'mistral-small': _("Mistral Small is a lightweight model designed for cost-effective use in tasks like translation and summarization."),
'mistral-nemo': _("A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA."),
'mistral-large': _("Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages."),
'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."),
'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."),
@@ -15,98 +17,108 @@ descriptions = {
'llama3': _("Meta Llama 3: The most capable openly available LLM to date"),
'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"),
'qwen2': _("Qwen2 is a new series of large language models from Alibaba group"),
'phi3': _("Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft."),
'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."),
'nomic-embed-text': _("A high-performing open embedding model with a large token context window."),
'mxbai-embed-large': _("State-of-the-art large embedding model from mixedbread.ai"),
'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."),
'phi': _("Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities."),
'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."),
'mxbai-embed-large': _("State-of-the-art large embedding model from mixedbread.ai"),
'zephyr': _("Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants."),
'dolphin-mistral': _("The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8."),
'starcoder2': _("StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters."),
'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."),
'llama2-uncensored': _("Uncensored Llama 2 model by George Sung and Jarrad Hope."),
'dolphin-mistral': _("The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8."),
'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."),
'mistral-openorca': _("Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset."),
'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."),
'orca-mini': _("A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware."),
'llava-llama3': _("A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks."),
'qwen2.5-coder': _("The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing."),
'mistral-openorca': _("Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset."),
'starcoder': _("StarCoder is a code generation model trained on 80+ programming languages."),
'llama2-chinese': _("Llama 2 based model fine tuned to improve Chinese dialogue ability."),
'vicuna': _("General use chat model based on Llama and Llama 2 with 2K to 16K context sizes."),
'tinyllama': _("The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens."),
'codestral': _("Codestral is Mistral AIs first-ever code model designed for code generation tasks."),
'vicuna': _("General use chat model based on Llama and Llama 2 with 2K to 16K context sizes."),
'llama2-chinese': _("Llama 2 based model fine tuned to improve Chinese dialogue ability."),
'snowflake-arctic-embed': _("A suite of text embedding models by Snowflake, optimized for performance."),
'wizard-vicuna-uncensored': _("Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford."),
'granite-code': _("A family of open foundation models by IBM for Code Intelligence"),
'codegeex4': _("A versatile model for AI software development scenarios, including code completion."),
'nous-hermes2': _("The powerful family of models by Nous Research that excels at scientific discussion and coding tasks."),
'all-minilm': _("Embedding models on very large sentence level datasets."),
'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."),
'aya': _("Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages."),
'codeqwen': _("CodeQwen1.5 is a large language model pretrained on a large amount of code data."),
'wizardlm2': _("State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases."),
'tinydolphin': _("An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama."),
'granite-code': _("A family of open foundation models by IBM for Code Intelligence"),
'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."),
'openhermes': _("OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets."),
'all-minilm': _("Embedding models on very large sentence level datasets."),
'codeqwen': _("CodeQwen1.5 is a large language model pretrained on a large amount of code data."),
'qwen2-math': _("Qwen2 Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o)."),
'bakllava': _("BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture."),
'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."),
'wizard-math': _("Model focused on math and logic problems"),
'neural-chat': _("A fine-tuned model based on Mistral with good coverage of domain and language."),
'llama3-gradient': _("This model extends LLama-3 8B's context length from 8k to over 1m tokens."),
'deepseek-llm': _("An advanced language model crafted with 2 trillion bilingual tokens."),
'wizard-math': _("Model focused on math and logic problems"),
'glm4': _("A strong multi-lingual general language model with competitive performance to Llama 3."),
'neural-chat': _("A fine-tuned model based on Mistral with good coverage of domain and language."),
'reflection': _("A high-performing model trained with a new technique called Reflection-tuning that teaches a LLM to detect mistakes in its reasoning and correct course."),
'llama3-chatqa': _("A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG)."),
'mistral-large': _("Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages."),
'moondream': _("moondream2 is a small vision language model designed to run efficiently on edge devices."),
'xwinlm': _("Conversational model based on Llama 2 that performs competitively on various benchmarks."),
'phind-codellama': _("Code generation model based on Code Llama."),
'nous-hermes': _("General use models based on Llama and Llama 2 from Nous Research."),
'dolphincoder': _("A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2."),
'sqlcoder': _("SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks"),
'xwinlm': _("Conversational model based on Llama 2 that performs competitively on various benchmarks."),
'deepseek-llm': _("An advanced language model crafted with 2 trillion bilingual tokens."),
'dolphincoder': _("A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2."),
'yarn-llama2': _("An extension of Llama 2 that supports a context of up to 128k tokens."),
'llama3-chatqa': _("A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG)."),
'wizardlm': _("General use model based on Llama 2."),
'starling-lm': _("Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness."),
'codegeex4': _("A versatile model for AI software development scenarios, including code completion."),
'snowflake-arctic-embed': _("A suite of text embedding models by Snowflake, optimized for performance."),
'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."),
'samantha-mistral': _("A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral."),
'moondream': _("moondream2 is a small vision language model designed to run efficiently on edge devices."),
'smollm': _("🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset."),
'stable-beluga': _("🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset."),
'qwen2-math': _("Qwen2 Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o)."),
'dolphin-phi': _("2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research."),
'wizardlm': _("General use model based on Llama 2."),
'deepseek-v2': _("A strong, economical, and efficient Mixture-of-Experts language model."),
'bakllava': _("BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture."),
'glm4': _("A strong multi-lingual general language model with competitive performance to Llama 3."),
'starling-lm': _("Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness."),
'samantha-mistral': _("A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral."),
'solar': _("A compact, yet powerful 10.7B large language model designed for single-turn conversation."),
'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."),
'stable-beluga': _("Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy."),
'dolphin-phi': _("2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research."),
'wizardlm-uncensored': _("Uncensored version of Wizard LM model"),
'yarn-mistral': _("An extension of Mistral to support context windows of 64K or 128K."),
'phi3.5': _("A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models."),
'medllama2': _("Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset."),
'llama-pro': _("An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics."),
'llava-phi3': _("A new small LLaVA model fine-tuned from Phi 3 Mini."),
'meditron': _("Open-source medical large language model adapted from Llama 2 to the medical domain."),
'nous-hermes2-mixtral': _("The Nous Hermes 2 model from Nous Research, now trained over Mixtral."),
'nexusraven': _("Nexus Raven is a 13B instruction tuned model for function calling tasks."),
'codeup': _("Great code generation model based on Llama2."),
'everythinglm': _("Uncensored Llama2 based model with support for a 16K context window."),
'hermes3': _("Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research"),
'yi-coder': _("Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters."),
'llava-phi3': _("A new small LLaVA model fine-tuned from Phi 3 Mini."),
'internlm2': _("InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability."),
'yarn-mistral': _("An extension of Mistral to support context windows of 64K or 128K."),
'llama-pro': _("An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics."),
'medllama2': _("Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset."),
'meditron': _("Open-source medical large language model adapted from Llama 2 to the medical domain."),
'nexusraven': _("Nexus Raven is a 13B instruction tuned model for function calling tasks."),
'nous-hermes2-mixtral': _("The Nous Hermes 2 model from Nous Research, now trained over Mixtral."),
'codeup': _("Great code generation model based on Llama2."),
'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."),
'everythinglm': _("Uncensored Llama2 based model with support for a 16K context window."),
'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."),
'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."),
'falcon2': _("Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens."),
'wizard-vicuna': _("Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj."),
'mistrallite': _("MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts."),
'falcon2': _("Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens."),
'duckdb-nsql': _("7B parameter text-to-SQL model made by MotherDuck and Numbers Station."),
'minicpm-v': _("A series of multimodal LLMs (MLLMs) designed for vision-language understanding."),
'megadolphin': _("MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself."),
'notux': _("A top-performing mixture of experts model, fine-tuned with high-quality data."),
'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."),
'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."),
'mathstral': _("MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI."),
'bge-m3': _("BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity."),
'mathstral': _("MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI."),
'dbrx': _("DBRX is an open, general-purpose LLM created by Databricks."),
'solar-pro': _("Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU"),
'nuextract': _("A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3."),
'alfred': _("A robust conversational model designed to be used for both chat and instruct use cases."),
'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."),
'reader-lm': _("A series of models that convert HTML content to Markdown content, which is useful for content conversion tasks."),
'bge-large': _("Embedding model from BAAI mapping texts to vectors."),
'deepseek-v2.5': _("An upgraded version of DeekSeek-V2 that integrates the general and coding abilities of both DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct."),
'bespoke-minicheck': _("A state-of-the-art fact-checking model developed by Bespoke Labs."),
'paraphrase-multilingual': _("Sentence-transformers model that can be used for tasks like clustering or semantic search."),
}

View File

@@ -6,7 +6,7 @@ Handles the chat widget (testing)
import gi
gi.require_version('Gtk', '4.0')
gi.require_version('GtkSource', '5')
from gi.repository import Gtk, Gio, Adw, Gdk
from gi.repository import Gtk, Gio, Adw, Gdk, GLib
import logging, os, datetime, shutil, random, tempfile, tarfile, json
from ..internal import data_dir
from .message_widget import message
@@ -72,7 +72,8 @@ class chat(Gtk.ScrolledWindow):
self.welcome_screen = None
self.regenerate_button = None
self.busy = False
self.get_vadjustment().connect('notify::page-size', lambda va, *_: va.set_value(va.get_upper() - va.get_page_size()) if va.get_value() == 0 else None)
#self.get_vadjustment().connect('notify::page-size', lambda va, *_: va.set_value(va.get_upper() - va.get_page_size()) if va.get_value() == 0 else None)
##TODO Figure out how to do this with the search thing
def stop_message(self):
self.busy = False
@@ -153,8 +154,8 @@ class chat(Gtk.ScrolledWindow):
for file_name, file_type in message_data['files'].items():
files[os.path.join(data_dir, "chats", self.get_name(), message_id, file_name)] = file_type
message_element.add_attachments(files)
message_element.set_text(message_data['content'])
message_element.add_footer(datetime.datetime.strptime(message_data['date'] + (":00" if message_data['date'].count(":") == 1 else ""), '%Y/%m/%d %H:%M:%S'))
GLib.idle_add(message_element.set_text, message_data['content'])
GLib.idle_add(message_element.add_footer, datetime.datetime.strptime(message_data['date'] + (":00" if message_data['date'].count(":") == 1 else ""), '%Y/%m/%d %H:%M:%S'))
else:
self.show_welcome_screen(len(window.model_manager.get_model_list()) > 0)
@@ -436,6 +437,10 @@ class chat_list(Gtk.ListBox):
if row:
current_tab_i = next((i for i, t in enumerate(self.tab_list) if t.chat_window == window.chat_stack.get_visible_child()), -1)
if self.tab_list.index(row) != current_tab_i:
if window.searchentry_messages.get_text() != '':
window.searchentry_messages.set_text('')
window.message_search_changed(window.searchentry_messages, window.chat_stack.get_visible_child())
window.message_searchbar.set_search_mode(False)
window.chat_stack.set_transition_type(4 if self.tab_list.index(row) > current_tab_i else 5)
window.chat_stack.set_visible_child(row.chat_window)
window.switch_send_stop_button(not row.chat_window.busy)

View File

@@ -10,12 +10,13 @@ from gi.repository import Gtk, GObject, Gio, Adw, GtkSource, GLib, Gdk
import logging, os, datetime, re, shutil, threading, sys
from ..internal import config_dir, data_dir, cache_dir, source_dir
from .table_widget import TableWidget
from .. import dialogs
logger = logging.getLogger(__name__)
window = None
class edit_text_block(Gtk.TextView):
class edit_text_block(Gtk.Box):
__gtype_name__ = 'AlpacaEditTextBlock'
def __init__(self, text:str):
@@ -26,21 +27,71 @@ class edit_text_block(Gtk.TextView):
margin_bottom=5,
margin_start=5,
margin_end=5,
css_classes=["view", "editing_message_textview"]
)
self.get_buffer().insert(self.get_buffer().get_start_iter(), text, len(text.encode('utf-8')))
enter_key_controller = Gtk.EventControllerKey.new()
enter_key_controller.connect("key-pressed", lambda controller, keyval, keycode, state: self.edit_message() if keyval==Gdk.KEY_Return and not (state & Gdk.ModifierType.SHIFT_MASK) else None)
self.add_controller(enter_key_controller)
def edit_message(self):
self.get_parent().get_parent().action_buttons.set_visible(True)
self.get_parent().get_parent().set_text(self.get_buffer().get_text(self.get_buffer().get_start_iter(), self.get_buffer().get_end_iter(), False))
self.get_parent().get_parent().add_footer(self.get_parent().get_parent().dt)
window.save_history(self.get_parent().get_parent().get_parent().get_parent().get_parent().get_parent())
spacing=5,
orientation=1
)
self.text_view = Gtk.TextView(
halign=0,
hexpand=True,
css_classes=["view", "editing_message_textview"],
wrap_mode=3
)
cancel_button = Gtk.Button(
vexpand=False,
valign=2,
halign=2,
tooltip_text=_("Cancel"),
css_classes=['flat', 'circular'],
icon_name='cross-large-symbolic'
)
cancel_button.connect('clicked', lambda *_: self.cancel_edit())
save_button = Gtk.Button(
vexpand=False,
valign=2,
halign=2,
tooltip_text=_("Save Message"),
css_classes=['flat', 'circular'],
icon_name='paper-plane-symbolic'
)
save_button.connect('clicked', lambda *_: self.edit_message())
self.append(self.text_view)
button_container = Gtk.Box(
halign=2,
spacing=5
)
button_container.append(cancel_button)
button_container.append(save_button)
self.append(button_container)
self.text_view.get_buffer().insert(self.text_view.get_buffer().get_start_iter(), text, len(text.encode('utf-8')))
key_controller = Gtk.EventControllerKey.new()
key_controller.connect("key-pressed", self.handle_key)
self.text_view.add_controller(key_controller)
def handle_key(self, controller, keyval, keycode, state):
if keyval==Gdk.KEY_Return and not (state & Gdk.ModifierType.SHIFT_MASK):
self.save_edit()
return True
elif keyval==Gdk.KEY_Escape:
self.cancel_edit()
return True
def save_edit(self):
message_element = self.get_parent().get_parent()
message_element.action_buttons.set_visible(True)
message_element.set_text(self.text_view.get_buffer().get_text(self.text_view.get_buffer().get_start_iter(), self.text_view.get_buffer().get_end_iter(), False))
message_element.add_footer(message_element.dt)
window.save_history(message_element.get_parent().get_parent().get_parent().get_parent())
self.get_parent().remove(self)
window.show_toast(_("Message edited successfully"), window.main_overlay)
return True
def cancel_edit(self):
message_element = self.get_parent().get_parent()
message_element.action_buttons.set_visible(True)
message_element.set_text(message_element.text)
message_element.add_footer(message_element.dt)
self.get_parent().remove(self)
class text_block(Gtk.Label):
__gtype_name__ = 'AlpacaTextBlock'
@@ -59,7 +110,7 @@ class text_block(Gtk.Label):
selectable=True
)
self.update_property([4, 7], [_("Response message") if bot else _("User message"), False])
self.connect('notify::has-focus', lambda *_: None if self.has_focus() else self.remove_selection() )
self.connect('notify::has-focus', lambda *_: GLib.idle_add(self.remove_selection) if self.has_focus() else None)
def remove_selection(self):
self.set_selectable(False)
@@ -103,10 +154,14 @@ class code_block(Gtk.Box):
self.source_view.update_property([4], [_("{}Code Block").format('{} '.format(self.language.get_name()) if self.language else "")])
title_box = Gtk.Box(margin_start=12, margin_top=3, margin_bottom=3, margin_end=3)
title_box.append(Gtk.Label(label=self.language.get_name() if self.language else _("Code Block"), hexpand=True, xalign=0))
title_box.append(Gtk.Label(label=self.language.get_name() if self.language else (language_name.title() if language_name else _("Code Block")), hexpand=True, xalign=0))
copy_button = Gtk.Button(icon_name="edit-copy-symbolic", css_classes=["flat", "circular"], tooltip_text=_("Copy Message"))
copy_button.connect("clicked", lambda *_: self.on_copy())
title_box.append(copy_button)
if language_name and language_name.lower() in ['bash', 'python3']:
run_button = Gtk.Button(icon_name="execute-from-symbolic", css_classes=["flat", "circular"], tooltip_text=_("Run Script"))
run_button.connect("clicked", lambda *_: self.run_script(language_name))
title_box.append(run_button)
self.append(title_box)
self.append(Gtk.Separator())
self.append(self.source_view)
@@ -121,6 +176,12 @@ class code_block(Gtk.Box):
clipboard.set(text)
window.show_toast(_("Code copied to the clipboard"), window.main_overlay)
def run_script(self, language_name):
logger.debug("Running script")
start = self.buffer.get_start_iter()
end = self.buffer.get_end_iter()
dialogs.run_script(window, self.buffer.get_text(start, end, False), language_name)
class attachment(Gtk.Button):
__gtype_name__ = 'AlpacaAttachment'
@@ -442,7 +503,7 @@ class message(Gtk.Overlay):
GLib.idle_add(vadjustment.set_value, vadjustment.get_upper())
elif vadjustment.get_value() + 50 >= vadjustment.get_upper() - vadjustment.get_page_size():
GLib.idle_add(vadjustment.set_value, vadjustment.get_upper() - vadjustment.get_page_size())
self.content_children[-1].insert_at_end(data['message']['content'], False)
GLib.idle_add(self.content_children[-1].insert_at_end, data['message']['content'], False)
if 'done' in data and data['done']:
window.chat_list_box.get_tab_by_name(chat.get_name()).spinner.set_visible(False)
if window.chat_list_box.get_current_chat().get_name() != chat.get_name():
@@ -451,11 +512,12 @@ class message(Gtk.Overlay):
chat.container.remove(chat.welcome_screen)
chat.welcome_screen = None
chat.stop_message()
self.set_text(self.content_children[-1].get_label())
self.text = self.content_children[-1].get_label()
GLib.idle_add(self.set_text, self.content_children[-1].get_label())
self.dt = datetime.datetime.now()
self.add_footer(self.dt)
GLib.idle_add(self.add_footer, self.dt)
window.show_notification(chat.get_name(), self.text[:200] + (self.text[200:] and '...'), Gio.ThemedIcon.new("chat-message-new-symbolic"))
window.save_history(chat)
GLib.idle_add(window.save_history, chat)
else:
if self.spinner:
GLib.idle_add(self.container.remove, self.spinner)
@@ -472,18 +534,14 @@ class message(Gtk.Overlay):
self.content_children = []
if text:
self.content_children = []
code_block_pattern = re.compile(r'```(\w+)\n(.*?)\n```', re.DOTALL)
no_lang_code_block_pattern = re.compile(r'`\n(.*?)\n`', re.DOTALL)
code_block_pattern = re.compile(r'```(\w*)\n(.*?)\n\s*```', re.DOTALL)
no_language_code_block_pattern = re.compile(r'`(\w*)\n(.*?)\n\s*`', re.DOTALL)
table_pattern = re.compile(r'((\r?\n){2}|^)([^\r\n]*\|[^\r\n]*(\r?\n)?)+(?=(\r?\n){2}|$)', re.MULTILINE)
bold_pattern = re.compile(r'\*\*(.*?)\*\*') #"**text**"
code_pattern = re.compile(r'`([^`\n]*?)`') #"`text`"
h1_pattern = re.compile(r'^#\s(.*)$') #"# text"
h2_pattern = re.compile(r'^##\s(.*)$') #"## text"
markup_pattern = re.compile(r'<(b|u|tt|span.*)>(.*?)<\/(b|u|tt|span)>') #heh butt span, I'm so funny
parts = []
pos = 0
# Code blocks
for match in code_block_pattern.finditer(self.text):
for match in code_block_pattern.finditer(self.text[pos:]):
start, end = match.span()
if pos < start:
normal_text = self.text[pos:start]
@@ -492,17 +550,17 @@ class message(Gtk.Overlay):
code_text = match.group(2)
parts.append({"type": "code", "text": code_text, "language": 'python3' if language == 'python' else language})
pos = end
# Code blocks (No language)
for match in no_lang_code_block_pattern.finditer(self.text):
for match in no_language_code_block_pattern.finditer(self.text[pos:]):
start, end = match.span()
if pos < start:
normal_text = self.text[pos:start]
parts.append({"type": "normal", "text": normal_text.strip()})
code_text = match.group(1)
language = match.group(1)
code_text = match.group(2)
parts.append({"type": "code", "text": code_text, "language": None})
pos = end
# Tables
for match in table_pattern.finditer(self.text):
for match in table_pattern.finditer(self.text[pos:]):
start, end = match.span()
if pos < start:
normal_text = self.text[pos:start]
@@ -511,8 +569,8 @@ class message(Gtk.Overlay):
parts.append({"type": "table", "text": table_text})
pos = end
# Text blocks
if pos < len(text):
normal_text = text[pos:]
if pos < len(self.text[pos:]):
normal_text = self.text[pos:]
if normal_text.strip():
parts.append({"type": "normal", "text": normal_text.strip()})
@@ -520,10 +578,12 @@ class message(Gtk.Overlay):
if part['type'] == 'normal':
text_b = text_block(self.bot)
part['text'] = part['text'].replace("\n* ", "\n")
part['text'] = code_pattern.sub(r'<tt>\1</tt>', part['text'])
part['text'] = bold_pattern.sub(r'<b>\1</b>', part['text'])
part['text'] = h1_pattern.sub(r'<span size="x-large">\1</span>', part['text'])
part['text'] = h2_pattern.sub(r'<span size="large">\1</span>', part['text'])
part['text'] = re.sub(r'`([^`\n]*?)`', r'<tt>\1</tt>', part['text'])
part['text'] = re.sub(r'\*\*(.*?)\*\*', r'<b>\1</b>', part['text'], flags=re.MULTILINE)
part['text'] = re.sub(r'^#\s+(.*)', r'<span size="x-large">\1</span>', part['text'], flags=re.MULTILINE)
part['text'] = re.sub(r'^##\s+(.*)', r'<span size="large">\1</span>', part['text'], flags=re.MULTILINE)
part['text'] = re.sub(r'_(\((.*?)\)|\d+)', r'<sub>\2\1</sub>', part['text'], flags=re.MULTILINE)
part['text'] = re.sub(r'\^(\((.*?)\)|\d+)', r'<sup>\2\1</sup>', part['text'], flags=re.MULTILINE)
pos = 0
for match in markup_pattern.finditer(part['text']):
start, end = match.span()
@@ -557,3 +617,4 @@ class message(Gtk.Overlay):
self.container.append(text_b)
self.container.queue_draw()

View File

@@ -7,7 +7,7 @@ import gi
gi.require_version('Gtk', '4.0')
gi.require_version('GtkSource', '5')
from gi.repository import Gtk, GObject, Gio, Adw, GtkSource, GLib, Gdk
import logging, os, datetime, re, shutil, threading, json, sys
import logging, os, datetime, re, shutil, threading, json, sys, glob
from ..internal import config_dir, data_dir, cache_dir, source_dir
from .. import available_models_descriptions, dialogs
@@ -52,6 +52,23 @@ class model_selector_popup(Gtk.Popover):
child=scroller
)
class model_selector_row(Gtk.ListBoxRow):
__gtype_name__ = 'AlpacaModelSelectorRow'
def __init__(self, model_name:str, image_recognition:bool):
super().__init__(
child = Gtk.Label(
label=window.convert_model_name(model_name, 0),
halign=1,
hexpand=True
),
halign=0,
hexpand=True,
name=model_name,
tooltip_text=window.convert_model_name(model_name, 0)
)
self.image_recognition = image_recognition
class model_selector_button(Gtk.MenuButton):
__gtype_name__ = 'AlpacaModelSelectorButton'
@@ -91,19 +108,18 @@ class model_selector_button(Gtk.MenuButton):
window.model_manager.verify_if_image_can_be_used()
def add_model(self, model_name:str):
model_row = Gtk.ListBoxRow(
child = Gtk.Label(
label=window.convert_model_name(model_name, 0),
halign=1,
hexpand=True
),
halign=0,
hexpand=True,
name=model_name,
tooltip_text=window.convert_model_name(model_name, 0)
)
self.get_popover().model_list_box.append(model_row)
self.change_model(model_name)
vision = False
response = window.ollama_instance.request("POST", "api/show", json.dumps({"name": model_name}))
if response.status_code != 200:
logger.error(f"Status code was {response.status_code}")
return
try:
vision = 'projector_info' in json.loads(response.text)
except Exception as e:
logger.error(f"Error fetching vision info: {str(e)}")
model_row = model_selector_row(model_name, vision)
GLib.idle_add(self.get_popover().model_list_box.append, model_row)
GLib.idle_add(self.change_model, model_name)
def remove_model(self, model_name:str):
self.get_popover().model_list_box.remove(next((model for model in list(self.get_popover().model_list_box) if model.get_name() == model_name), None))
@@ -183,9 +199,22 @@ class pulling_model(Gtk.ListBoxRow):
name=model_name
)
self.error = None
self.digests = []
def update(self, data):
if 'digest' in data and data['digest'] not in self.digests:
self.digests.append(data['digest'].replace(':', '-'))
if not self.get_parent():
logger.info("Pulling of '{}' was canceled".format(self.get_name()))
directory = os.path.join(data_dir, '.ollama', 'models', 'blobs')
for digest in self.digests:
files_to_delete = glob.glob(os.path.join(directory, digest + '*'))
for file in files_to_delete:
logger.info("Deleting '{}'".format(file))
try:
os.remove(file)
except Exception as e:
logger.error(f"Can't delete file {file}: {e}")
sys.exit()
if 'error' in data:
self.error = data['error']
@@ -273,7 +302,7 @@ class local_model_list(Gtk.ListBox):
def add_model(self, model_name:str):
model = local_model(model_name)
self.append(model)
GLib.idle_add(self.append, model)
if not self.get_visible():
self.set_visible(True)
@@ -415,6 +444,7 @@ class model_manager_container(Gtk.Box):
spacing=12,
orientation=1
)
self.pulling_list = pulling_model_list()
self.append(self.pulling_list)
self.local_list = local_model_list()
@@ -465,7 +495,7 @@ class model_manager_container(Gtk.Box):
else:
self.local_list.set_visible(True)
for model in data['models']:
self.add_local_model(model['name'])
threading.Thread(target=self.add_local_model, args=(model['name'], )).start()
else:
window.connection_error()
except Exception as e:
@@ -485,20 +515,16 @@ class model_manager_container(Gtk.Box):
def verify_if_image_can_be_used(self):
logger.debug("Verifying if image can be used")
selected = self.get_selected_model()
if selected == None:
return False
selected = selected.split(":")[0]
with open(os.path.join(source_dir, 'available_models.json'), 'r', encoding="utf-8") as f:
if selected in [key for key, value in json.load(f).items() if value["image"]]:
for name, content in window.attachments.items():
if content['type'] == 'image':
content['button'].set_css_classes(["flat"])
return True
selected = self.model_selector.get_popover().model_list_box.get_selected_row()
if selected and selected.image_recognition:
for name, content in window.attachments.items():
if content['type'] == 'image':
content['button'].set_css_classes(["flat"])
return True
elif selected:
for name, content in window.attachments.items():
if content['type'] == 'image':
content['button'].set_css_classes(["flat", "error"])
return False
def pull_model(self, model_name:str, modelfile:str=None):
if ':' not in model_name:
@@ -532,4 +558,3 @@ class model_manager_container(Gtk.Box):
GLib.idle_add(window.chat_list_box.update_welcome_screens, len(self.get_model_list()) > 0)
if len(list(self.pulling_list)) == 0:
GLib.idle_add(self.pulling_list.set_visible, False)

View File

@@ -0,0 +1,44 @@
#chat_widget.py
"""
Handles the terminal widget
"""
import gi
gi.require_version('Gtk', '4.0')
gi.require_version('Vte', '3.91')
from gi.repository import Gtk, Vte, GLib, Pango, GLib, Gdk
class terminal(Vte.Terminal):
__gtype_name__ = 'AlpacaTerminal'
def __init__(self, script:list):
super().__init__(css_classes=["terminal"])
self.set_font(Pango.FontDescription.from_string("Monospace 12"))
self.set_clear_background(False)
pty = Vte.Pty.new_sync(Vte.PtyFlags.DEFAULT, None)
self.set_pty(pty)
pty.spawn_async(
GLib.get_current_dir(),
script,
[],
GLib.SpawnFlags.DEFAULT,
None,
None,
-1,
None,
None
)
key_controller = Gtk.EventControllerKey()
key_controller.connect("key-pressed", self.on_key_press)
self.add_controller(key_controller)
def on_key_press(self, controller, keyval, keycode, state):
ctrl = state & Gdk.ModifierType.CONTROL_MASK
shift = state & Gdk.ModifierType.SHIFT_MASK
if ctrl and keyval == Gdk.KEY_c:
self.copy_clipboard()
return True
return False

View File

@@ -3,11 +3,11 @@
Handles UI dialogs
"""
import os
import logging, requests, threading, shutil
import logging, requests, threading, shutil, subprocess, re
from pytube import YouTube
from html2text import html2text
from gi.repository import Adw, Gtk
from .internal import cache_dir
from .internal import cache_dir, data_dir
logger = logging.getLogger(__name__)
# CLEAR CHAT | WORKS
@@ -416,3 +416,59 @@ def attach_website(self, url):
cancellable = None,
callback = lambda dialog, task, url=url: attach_website_response(self, dialog, task, url)
)
# Run Script
def run_script_response(self, dialog, task, script, language_name):
if dialog.choose_finish(task) == "accept":
logger.info('Running: \n{}'.format(script))
if language_name == 'python3':
if not os.path.isdir(os.path.join(data_dir, 'pyenv')):
os.mkdir(os.path.join(data_dir, 'pyenv'))
with open(os.path.join(data_dir, 'pyenv', 'main.py'), 'w') as f:
f.write(script)
script = [
'echo "🐍 {}\n"'.format(_('Setting up Python environment...')),
'python3 -m venv "{}"'.format(os.path.join(data_dir, 'pyenv')),
'{} {}'.format(os.path.join(data_dir, 'pyenv', 'bin', 'python3').replace(' ', '\\ '), os.path.join(data_dir, 'pyenv', 'main.py').replace(' ', '\\ '))
]
if os.path.isfile(os.path.join(data_dir, 'pyenv', 'requirements.txt')):
script.insert(1, '{} install -r {} | grep -v "already satisfied"; clear'.format(os.path.join(data_dir, 'pyenv', 'bin', 'pip3'), os.path.join(data_dir, 'pyenv', 'requirements.txt')))
else:
with open(os.path.join(data_dir, 'pyenv', 'requirements.txt'), 'w') as f:
f.write('')
script = ';\n'.join(script)
script += '; echo "\n🦙 {}"'.format(_('Script exited'))
if language_name == 'bash':
script = re.sub(r'(?m)^\s*sudo', 'pkexec', script)
if shutil.which('flatpak-spawn') and language_name == 'bash':
sandbox = True
try:
process = subprocess.run(['flatpak-spawn', '--host', 'bash', '-c', 'echo "test"'], check=True)
sandbox = False
except Exception as e:
pass
if sandbox:
script = 'echo "🦙 {}\n";'.format(_('The script is contained inside Flatpak')) + script
self.run_terminal(['bash', '-c', script])
else:
self.run_terminal(['flatpak-spawn', '--host', 'bash', '-c', script])
else:
self.run_terminal(['bash', '-c', script])
def run_script(self, script:str, language_name:str):
dialog = Adw.AlertDialog(
heading=_("Run Script"),
body=_("Make sure you understand what this script does before running it, Alpaca is not responsible for any damages to your device or data"),
close_response="cancel"
)
dialog.add_response("cancel", _("Cancel"))
dialog.add_response("accept", _("Accept"))
dialog.set_response_appearance("accept", Adw.ResponseAppearance.SUGGESTED)
dialog.set_default_response("accept")
dialog.choose(
parent = self,
cancellable = None,
callback = lambda dialog, task, script=script, language_name=language_name: run_script_response(self, dialog, task, script, language_name)
)

View 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 3 2 c -0.265625 0 -0.519531 0.105469 -0.707031 0.292969 c -0.390625 0.390625 -0.390625 1.023437 0 1.414062 l 4.292969 4.292969 l -4.292969 4.292969 c -0.390625 0.390625 -0.390625 1.023437 0 1.414062 s 1.023437 0.390625 1.414062 0 l 4.292969 -4.292969 l 4.292969 4.292969 c 0.390625 0.390625 1.023437 0.390625 1.414062 0 s 0.390625 -1.023437 0 -1.414062 l -4.292969 -4.292969 l 4.292969 -4.292969 c 0.390625 -0.390625 0.390625 -1.023437 0 -1.414062 c -0.1875 -0.1875 -0.441406 -0.292969 -0.707031 -0.292969 s -0.519531 0.105469 -0.707031 0.292969 l -4.292969 4.292969 l -4.292969 -4.292969 c -0.1875 -0.1875 -0.441406 -0.292969 -0.707031 -0.292969 z m 0 0" fill="#222222"/></svg>

After

Width:  |  Height:  |  Size: 816 B

View 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 4.992188 2.996094 v 10 h 1 c 0.175781 0 0.347656 -0.039063 0.5 -0.125 l 7 -4 c 0.308593 -0.171875 0.46875 -0.523438 0.46875 -0.875 c 0 -0.351563 -0.160157 -0.703125 -0.46875 -0.875 l -7 -4 c -0.152344 -0.085938 -0.324219 -0.125 -0.5 -0.125 z m 0 0" fill="#222222"/></svg>

After

Width:  |  Height:  |  Size: 409 B

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@@ -50,7 +50,8 @@ custom_widgets = [
'custom_widgets/table_widget.py',
'custom_widgets/message_widget.py',
'custom_widgets/chat_widget.py',
'custom_widgets/model_widget.py'
'custom_widgets/model_widget.py',
'custom_widgets/terminal_widget.py'
]
install_data(alpaca_sources, install_dir: moduledir)

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@@ -36,4 +36,7 @@ stacksidebar {
}
.code_block {
font-family: monospace;
}
}
.terminal {
padding: 10px;
}

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@@ -32,7 +32,7 @@ gi.require_version('GdkPixbuf', '2.0')
from gi.repository import Adw, Gtk, Gdk, GLib, GtkSource, Gio, GdkPixbuf
from . import dialogs, connection_handler
from .custom_widgets import message_widget, chat_widget, model_widget
from .custom_widgets import message_widget, chat_widget, model_widget, terminal_widget
from .internal import config_dir, data_dir, cache_dir, source_dir
logger = logging.getLogger(__name__)
@@ -92,6 +92,9 @@ class AlpacaWindow(Adw.ApplicationWindow):
file_preview_remove_button = Gtk.Template.Child()
secondary_menu_button = Gtk.Template.Child()
model_searchbar = Gtk.Template.Child()
message_searchbar = Gtk.Template.Child()
message_search_button = Gtk.Template.Child()
searchentry_messages = Gtk.Template.Child()
no_results_page = Gtk.Template.Child()
model_link_button = Gtk.Template.Child()
title_stack = Gtk.Template.Child()
@@ -115,6 +118,9 @@ class AlpacaWindow(Adw.ApplicationWindow):
style_manager = Adw.StyleManager()
terminal_scroller = Gtk.Template.Child()
terminal_dialog = Gtk.Template.Child()
@Gtk.Template.Callback()
def stop_message(self, button=None):
self.chat_list_box.get_current_chat().stop_message()
@@ -321,6 +327,10 @@ class AlpacaWindow(Adw.ApplicationWindow):
self.model_manager.pulling_list.set_visible(not button.get_active() and len(list(self.model_manager.pulling_list)) > 0)
self.model_manager.local_list.set_visible(not button.get_active() and len(list(self.model_manager.local_list)) > 0)
@Gtk.Template.Callback()
def message_search_toggle(self, button):
self.message_searchbar.set_search_mode(button.get_active())
@Gtk.Template.Callback()
def model_search_changed(self, entry):
results = 0
@@ -336,6 +346,24 @@ class AlpacaWindow(Adw.ApplicationWindow):
self.model_scroller.set_visible(True)
self.no_results_page.set_visible(False)
@Gtk.Template.Callback()
def message_search_changed(self, entry, current_chat=None):
search_term=entry.get_text()
results = 0
if not current_chat:
current_chat = self.chat_list_box.get_current_chat()
if current_chat:
for key, message in current_chat.messages.items():
if message and message.text:
message.set_visible(re.search(search_term, message.text, re.IGNORECASE))
for block in message.content_children:
if isinstance(block, message_widget.text_block):
if search_term:
highlighted_text = re.sub(f"({re.escape(search_term)})", r"<span background='yellow' bgalpha='30%'>\1</span>", block.get_text(),flags=re.IGNORECASE)
block.set_markup(highlighted_text)
else:
block.set_markup(block.get_text())
@Gtk.Template.Callback()
def on_clipboard_paste(self, textview):
logger.debug("Pasting from clipboard")
@@ -343,6 +371,10 @@ class AlpacaWindow(Adw.ApplicationWindow):
clipboard.read_text_async(None, self.cb_text_received)
clipboard.read_texture_async(None, self.cb_image_received)
def run_terminal(self, script:list):
self.terminal_scroller.set_child(terminal_widget.terminal(script))
self.terminal_dialog.present(self)
def convert_model_name(self, name:str, mode:int) -> str: # mode=0 name:tag -> Name (tag) | mode=1 Name (tag) -> name:tag
try:
if mode == 0:
@@ -551,6 +583,7 @@ Generate a title following these rules:
if response.status_code != 200:
raise Exception('Network Error')
except Exception as e:
logger.error(e)
self.chat_list_box.get_tab_by_name(chat.get_name()).spinner.set_visible(False)
chat.busy = False
GLib.idle_add(message_element.add_action_buttons)
@@ -788,9 +821,20 @@ Generate a title following these rules:
self.banner.set_revealed(monitor.get_power_saver_enabled() and self.powersaver_warning_switch.get_active())
def prepare_alpaca(self, local_port:int, remote_url:str, remote:bool, tweaks:dict, overrides:dict, bearer_token:str, idle_timer_delay:int, save:bool):
#Model Manager
self.model_manager = model_widget.model_manager_container()
self.model_scroller.set_child(self.model_manager)
#Chat History
self.load_history()
#Instance
self.ollama_instance = connection_handler.instance(local_port, remote_url, remote, tweaks, overrides, bearer_token, idle_timer_delay)
#Model Manager P.2
self.model_manager.update_available_list()
self.model_manager.update_local_list()
#User Preferences
for element in list(list(list(list(self.tweaks_group)[0])[1])[0]):
if element.get_name() in self.ollama_instance.tweaks:
@@ -807,27 +851,17 @@ Generate a title following these rules:
self.remote_connection_switch.set_active(self.ollama_instance.remote)
self.instance_idle_timer.set_value(self.ollama_instance.idle_timer_delay)
#Model Manager
self.model_manager = model_widget.model_manager_container()
self.model_scroller.set_child(self.model_manager)
#Chat History
self.load_history()
#Model Manager P.2
self.model_manager.update_available_list()
self.model_manager.update_local_list()
self.get_application().lookup_action("manage_models").set_enabled(True)
#Save preferences
if save:
self.save_server_config()
self.send_button.set_sensitive(True)
self.attachment_button.set_sensitive(True)
self.get_application().lookup_action('manage_models').set_enabled(True)
self.get_application().lookup_action('preferences').set_enabled(True)
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.message_searchbar.connect('notify::search-mode-enabled', lambda *_: self.message_search_button.set_active(self.message_searchbar.get_search_mode()))
message_widget.window = self
chat_widget.window = self
model_widget.window = self
@@ -864,12 +898,15 @@ Generate a title following these rules:
'export_chat': [self.chat_actions],
'export_current_chat': [self.current_chat_actions],
'toggle_sidebar': [lambda *_: self.split_view_overlay.set_show_sidebar(not self.split_view_overlay.get_show_sidebar()), ['F9']],
'manage_models': [lambda *_: self.manage_models_dialog.present(self), ['<primary>m']]
'manage_models': [lambda *_: self.manage_models_dialog.present(self), ['<primary>m']],
'search_messages': [lambda *_: self.message_searchbar.set_search_mode(not self.message_searchbar.get_search_mode()), ['<primary>f']]
}
for action_name, data in universal_actions.items():
self.get_application().create_action(action_name, data[0], data[1] if len(data) > 1 else None)
self.get_application().lookup_action("manage_models").set_enabled(False)
self.get_application().lookup_action('manage_models').set_enabled(False)
self.get_application().lookup_action('preferences').set_enabled(False)
self.file_preview_remove_button.connect('clicked', lambda button : dialogs.remove_attached_file(self, button.get_name()))
self.attachment_button.connect("clicked", lambda button, file_filter=self.file_filter_attachments: dialogs.attach_file(self, file_filter))

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@@ -14,6 +14,7 @@
<object class="AdwBreakpoint">
<condition>max-width: 690sp</condition>
<setter object="split_view_overlay" property="collapsed">true</setter>
<setter object="terminal_dialog" property="width-request">400</setter>
</object>
</child>
<property name="content">
@@ -54,6 +55,7 @@
</property>
<child>
<object class="AdwToolbarView">
<property name="height-request">140</property>
<child type="top">
<object class="AdwHeaderBar">
<child type="start">
@@ -63,6 +65,13 @@
<property name="active" bind-source="split_view_overlay" bind-property="show-sidebar" bind-flags="sync-create"/>
</object>
</child>
<child type="start">
<object class="GtkToggleButton" id="message_search_button">
<property name="icon-name">edit-find-symbolic</property>
<property name="tooltip-text" translatable="yes">Search Messages</property>
<signal name="clicked" handler="message_search_toggle"/>
</object>
</child>
<child type="title">
<object class="GtkStack" id="title_stack">
<property name="transition_duration">100</property>
@@ -100,6 +109,24 @@
</child>
</object>
</child>
<child type="top">
<object class="GtkSearchBar" id="message_searchbar">
<accessibility>
<property name="label" translatable="yes">Message search bar</property>
</accessibility>
<property name="key-capture-widget">AlpacaWindow</property>
<child>
<object class="GtkSearchEntry" id="searchentry_messages">
<signal name="search-changed" handler="message_search_changed"/>
<property name="search-delay">200</property>
<property name="placeholder-text" translatable="yes">Search messages</property>
<accessibility>
<property name="label" translatable="yes">Search messages</property>
</accessibility>
</object>
</child>
</object>
</child>
<property name="content">
<object class="GtkBox"><!--ACTUAL CONTENT-->
<property name="orientation">1</property>
@@ -154,6 +181,7 @@
<object class="GtkButton" id="attachment_button">
<property name="vexpand">false</property>
<property name="valign">3</property>
<property name="sensitive">false</property>
<property name="tooltip-text" translatable="yes">Attach File</property>
<style>
<class name="circular"/>
@@ -448,6 +476,29 @@
</child>
</object>
<object class="AdwDialog" id="terminal_dialog">
<accessibility>
<property name="label" translatable="yes">Manage models dialog</property>
</accessibility>
<property name="title" translatable="yes">Terminal</property>
<property name="can-close">true</property>
<property name="width-request">600</property>
<property name="height-request">600</property>
<child>
<object class="AdwToolbarView">
<style>
<class name="osd"/>
</style>
<child type="top">
<object class="AdwHeaderBar"/>
</child>
<property name="content">
<object class="GtkScrolledWindow" id="terminal_scroller"/>
</property>
</object>
</child>
</object>
<object class="AdwDialog" id="manage_models_dialog">
<accessibility>
<property name="label" translatable="yes">Manage models dialog</property>
@@ -508,6 +559,7 @@
<property name="vexpand">true</property>
<child>
<object class="GtkScrolledWindow" id="model_scroller">
<property name="hscrollbar-policy">2</property>
<property name="hexpand">true</property>
<property name="vexpand">true</property>
</object>

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@@ -25,4 +25,6 @@ msgmerge --no-fuzzy-matching -U po/uk.po po/alpaca.pot
echo "Updating German"
msgmerge --no-fuzzy-matching -U po/de.po po/alpaca.pot
echo "Updating Hebrew"
msgmerge --no-fuzzy-matching -U po/he.po po/alpaca.pot
msgmerge --no-fuzzy-matching -U po/he.po po/alpaca.pot
echo "Updating Telugu"
msgmerge --no-fuzzy-matching -U po/te.po po/alpaca.pot