Removed unnecesary line from release notes

1. cleaned up the manifest
2. added arm64 support

README.md

@@ -8,9 +8,6 @@ Alpaca is an [Ollama](https://github.com/ollama/ollama) client where you can man
 
 ---
 
-> [!NOTE]
-> Please checkout [this discussion](https://github.com/Jeffser/Alpaca/discussions/292), I want to start developing a new app alongside Alpaca but I need some suggestions, thanks!
-
 > [!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 AI models.
 
@@ -71,6 +68,8 @@ Language               | Contributors
 🇹🇷 Turkish              | [YusaBecerikli](https://github.com/YusaBecerikli)
 🇺🇦 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!
 
@@ -86,3 +85,15 @@ Want to add a language? Visit [this discussion](https://github.com/Jeffser/Alpac
 - [Aleksana](https://github.com/Aleksanaa) for her help with better handling of directories
 - Sponsors for giving me enough money to be able to take a ride to my campus every time I need to <3
 - Everyone that has shared kind words of encouragement!
+
+---
+
+## Dependencies
+
+- [Requests](https://github.com/psf/requests)
+- [Pillow](https://github.com/python-pillow/Pillow)
+- [Pypdf](https://github.com/py-pdf/pypdf)
+- [Pytube](https://github.com/pytube/pytube)
+- [Html2Text](https://github.com/aaronsw/html2text)
+- [Ollama](https://github.com/ollama/ollama)
+- [Numactl](https://github.com/numactl/numactl)

com.jeffser.Alpaca.json

@@ -1,7 +1,7 @@
 {
     "id" : "com.jeffser.Alpaca",
     "runtime" : "org.gnome.Platform",
-    "runtime-version" : "46",
+    "runtime-version" : "47",
     "sdk" : "org.gnome.Sdk",
     "command" : "alpaca",
     "finish-args" : [
@@ -134,16 +134,16 @@
             "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/v0.3.11/ollama-linux-amd64.tgz",
+            		"sha256": "aa4d26889a6a413f676a7f80116983731f06287534bb72adec37dd39d168d40a",
 		    	"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/v0.3.11/ollama-linux-arm64.tgz",
+            		"sha256": "61e3a21bec7f706b404424b80602240281d9b651ca4e00e8edee4527a533a15b",
 		    	"only-arches": [
 		    		"aarch64"
 		    	]

data/com.jeffser.Alpaca.metainfo.xml.in

@@ -78,6 +78,60 @@
   <url type="contribute">https://github.com/Jeffser/Alpaca/discussions/154</url>
   <url type="vcs-browser">https://github.com/Jeffser/Alpaca</url>
   <releases>
+    <release version="2.0.5" 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>
+        <p>Fixes</p>
+        <ul>
+          <li>Fixed spinner not hiding if the back end fails</li>
+          <li>Fixed image recognition with local images</li>
+          <li>Changed appearance of delete / stop model buttons</li>
+          <li>Fixed stop button crashing the app</li>
+        </ul>
+        <p>New</p>
+        <ul>
+          <li>Made sidebar resize a little when the window is smaller</li>
+          <li>Instant launch</li>
+        </ul>
+      </description>
+    </release>
+    <release version="2.0.2" date="2024-09-11">
+      <url type="details">https://github.com/Jeffser/Alpaca/releases/tag/2.0.2</url>
+      <description>
+        <p>Fixes</p>
+        <ul>
+          <li>Fixed error on first run (welcome dialog)</li>
+          <li>Fixed checker for Ollama instance (used on system packages)</li>
+        </ul>
+      </description>
+    </release>
     <release version="2.0.1" date="2024-09-11">
       <url type="details">https://github.com/Jeffser/Alpaca/releases/tag/2.0.1</url>
       <description>

meson.build

@@ -1,5 +1,5 @@
 project('Alpaca', 'c',
-          version: '2.0.1',
+          version: '2.0.5',
     meson_version: '>= 0.62.0',
   default_options: [ 'warning_level=2', 'werror=false', ],
 )

po/LINGUAS

@@ -9,3 +9,5 @@ hi
 tr
 uk
 de
+he
+te

snap/snapcraft.yaml

@@ -0,0 +1,92 @@
+name: alpaca
+base: core24
+adopt-info: alpaca
+
+platforms:
+  amd64:
+  arm64:
+
+confinement: strict
+grade: stable
+compression: lzo
+
+slots:
+  dbus-alpaca:
+    interface: dbus
+    bus: session
+    name: com.jeffser.Alpaca
+
+apps:
+  alpaca:
+    command: usr/bin/alpaca
+    common-id: com.jeffser.Alpaca
+    extensions:
+      - gnome
+    plugs:
+      - network
+      - network-bind
+      - home
+      - removable-media
+
+  ollama:
+    command: bin/ollama
+    plugs:
+      - home
+      - removable-media
+      - network
+      - network-bind
+
+  ollama-daemon:
+    command: bin/ollama serve
+    daemon: simple
+    install-mode: enable
+    restart-condition: on-failure
+    plugs:
+      - home
+      - removable-media
+      - network
+      - network-bind
+
+parts:
+  # Python dependencies
+  python-deps:
+    plugin: python
+    source: .
+    python-packages:
+      - requests==2.31.0
+      - pillow==10.3.0
+      - pypdf==4.2.0
+      - pytube==15.0.0
+      - html2text==2024.2.26
+
+  # Ollama plugin
+  ollama:
+    plugin: dump
+    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-depth: 1
+    meson-parameters:
+      - --prefix=/snap/alpaca/current/usr
+    override-build: |
+      craftctl default
+      sed -i '1c#!/usr/bin/env python3' $CRAFT_PART_INSTALL/snap/alpaca/current/usr/bin/alpaca
+    parse-info:
+      - usr/share/metainfo/com.jeffser.Alpaca.metainfo.xml
+    organize:
+      snap/alpaca/current: .
+    after: [python-deps]
+
+  deps:
+    plugin: nil
+    after: [alpaca]
+    stage-packages:
+      - libnuma1
+    prime:
+      - usr/lib/*/libnuma.so.1*

src/available_models_descriptions.py

@@ -1,11 +1,12 @@
 descriptions = {
    '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."),
@@ -15,6 +16,8 @@ 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."),
@@ -23,90 +26,98 @@ descriptions = {
    '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-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."),
    '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."),
    '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."),
    'llava-llama3': _("A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks."),
+   '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."),
+   'vicuna': _("General use chat model based on Llama and Llama 2 with 2K to 16K context sizes."),
    'codestral': _("Codestral is Mistral AI’s first-ever code model designed for code generation tasks."),
+   '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."),
+   '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."),
+   'granite-code': _("A family of open foundation models by IBM for Code Intelligence"),
    '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."),
    'wizardlm2': _("State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases."),
+   'codeqwen': _("CodeQwen1.5 is a large language model pretrained on a large amount of code data."),
    '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"),
+   'all-minilm': _("Embedding models on very large sentence level 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."),
    '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."),
+   '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."),
+   '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)."),
    '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."),
+   'neural-chat': _("A fine-tuned model based on Mistral with good coverage of domain and language."),
+   'deepseek-llm': _("An advanced language model crafted with 2 trillion bilingual tokens."),
    '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."),
-   'yarn-llama2': _("An extension of Llama 2 that supports a context of up to 128k tokens."),
+   'sqlcoder': _("SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks"),
+   'dolphincoder': _("A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2."),
    'llama3-chatqa': _("A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG)."),
+   'yarn-llama2': _("An extension of Llama 2 that supports a context of up to 128k tokens."),
+   '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."),
    '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."),
+   'starling-lm': _("Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness."),
+   '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."),
+   'moondream': _("moondream2 is a small vision language model designed to run efficiently on edge devices."),
+   'snowflake-arctic-embed': _("A suite of text embedding models by Snowflake, optimized for performance."),
+   '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."),
    '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."),
+   'stable-beluga': _("Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy."),
    'glm4': _("A strong multi-lingual general language model with competitive performance to Llama 3."),
+   '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."),
+   'hermes3': _("Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research"),
+   '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."),
+   '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."),
+   'internlm2': _("InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability."),
    '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."),
+   'nous-hermes2-mixtral': _("The Nous Hermes 2 model from Nous Research, now trained over Mixtral."),
    '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"),
-   '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."),
    '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."),
    'duckdb-nsql': _("7B parameter text-to-SQL model made by MotherDuck and Numbers Station."),
+   'qwen2.5-coder': _("The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing."),
    '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."),
+   'minicpm-v': _("A series of multimodal LLMs (MLLMs) designed for vision-language understanding."),
+   '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."),
+   'solar-pro': _("Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU"),
    'bge-large': _("Embedding model from BAAI mapping texts to vectors."),
+   'reader-lm': _("A series of models that convert HTML content to Markdown content, which is useful for content conversion tasks."),
+   '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."),
    'paraphrase-multilingual': _("Sentence-transformers model that can be used for tasks like clustering or semantic search."),
+   'bespoke-minicheck': _("A state-of-the-art fact-checking model developed by Bespoke Labs."),
 }

src/connection_handler.py

@@ -92,6 +92,7 @@ class instance():
                 self.idle_timer.start()
 
     def start(self):
+        self.stop()
         if shutil.which('ollama'):
             if not os.path.isdir(os.path.join(cache_dir, 'tmp/ollama')):
                 os.mkdir(os.path.join(cache_dir, 'tmp/ollama'))

src/custom_widgets/chat_widget.py

@@ -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
@@ -121,7 +122,7 @@ class chat(Gtk.ScrolledWindow):
                 tooltip_text=_("Open Model Manager"),
                 css_classes=["suggested-action", "pill"]
             )
-            button.connect('clicked', lambda *_ : window.manage_models_dialog.present(window))
+            button.set_action_name('app.manage_models')
             button_container.append(button)
 
         self.welcome_screen = Adw.StatusPage(
@@ -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)

src/custom_widgets/message_widget.py

@@ -59,7 +59,7 @@ 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)
@@ -345,6 +345,9 @@ class action_buttons(Gtk.Box):
     def regenerate_message(self):
         chat = self.get_parent().get_parent().get_parent().get_parent().get_parent()
         message_element = self.get_parent()
+        if message_element.spinner:
+            message_element.container.remove(message_element.spinner)
+            message_element.spinner = None
         if not chat.busy:
             message_element.set_text()
             if message_element.footer:
@@ -425,6 +428,8 @@ class message(Gtk.Overlay):
         if not self.action_buttons:
             self.action_buttons = action_buttons(self.bot)
             self.add_overlay(self.action_buttons)
+            if not self.text:
+                self.action_buttons.set_visible(False)
 
     def update_message(self, data:dict):
         chat = self.get_parent().get_parent().get_parent().get_parent()
@@ -437,7 +442,7 @@ 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():
@@ -446,12 +451,18 @@ 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())
+                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)
+                self.spinner = None
+            chat_tab = window.chat_list_box.get_tab_by_name(chat.get_name())
+            if chat_tab.spinner:
+                GLib.idle_add(chat_tab.spinner.set_visible, False)
             sys.exit()
 
     def set_text(self, text:str=None):
@@ -538,8 +549,12 @@ class message(Gtk.Overlay):
             text_b = text_block(self.bot)
             text_b.set_visible(False)
             self.content_children.append(text_b)
+            if self.spinner:
+                self.container.remove(self.spinner)
+                self.spinner = None
             self.spinner = Gtk.Spinner(spinning=True, margin_top=12, margin_bottom=12, hexpand=True)
             self.container.append(self.spinner)
             self.container.append(text_b)
         self.container.queue_draw()
 
+

src/custom_widgets/model_widget.py

@@ -69,7 +69,8 @@ class model_selector_button(Gtk.MenuButton):
         super().__init__(
             tooltip_text=_('Select a Model'),
             child=container,
-            popover=self.popover
+            popover=self.popover,
+            halign=3
         )
 
     def change_model(self, model_name:str):
@@ -158,7 +159,7 @@ class pulling_model(Gtk.ListBoxRow):
             icon_name = "media-playback-stop-symbolic",
             vexpand = False,
             valign = 3,
-            css_classes = ["destructive-action", "circular"],
+            css_classes = ["error", "circular"],
             tooltip_text = _("Stop Pulling '{}'").format(window.convert_model_name(model_name, 0))
         )
         stop_button.connect('clicked', lambda *_: dialogs.stop_pull_model(window, self))
@@ -237,7 +238,7 @@ class local_model(Gtk.ListBoxRow):
             icon_name = "user-trash-symbolic",
             vexpand = False,
             valign = 3,
-            css_classes = ["destructive-action", "circular"],
+            css_classes = ["error", "circular"],
             tooltip_text = _("Remove '{}'").format(window.convert_model_name(model_name, 0))
         )
         delete_button.connect('clicked', lambda *_, model_name=model_name: dialogs.delete_model(window, model_name))
@@ -414,6 +415,7 @@ 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()
@@ -421,7 +423,7 @@ class model_manager_container(Gtk.Box):
         self.available_list = available_model_list()
         self.append(self.available_list)
         self.model_selector = model_selector_button()
-        window.header_bar.set_title_widget(self.model_selector)
+        window.title_stack.add_named(self.model_selector, 'model_selector')
 
     def add_local_model(self, model_name:str):
         self.local_list.add_model(model_name)
@@ -470,6 +472,8 @@ class model_manager_container(Gtk.Box):
         except Exception as e:
             logger.error(e)
             window.connection_error()
+        window.title_stack.set_visible_child_name('model_selector')
+        window.chat_list_box.update_welcome_screens(len(self.get_model_list()) > 0)
 
     #Should only be called when the app starts
     def update_available_list(self):
@@ -480,11 +484,37 @@ class model_manager_container(Gtk.Box):
     def change_model(self, model_name:str):
         self.model_selector.change_model(model_name)
 
+    def has_vision(self, model_name) -> bool:
+        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 False
+
+        try:
+            model_info = json.loads(response.text)
+            logger.debug(f"Vision for {model_name}: {'projector_info' in model_info}")
+            return 'projector_info' in model_info
+        except Exception as e:
+            logger.error(f"Error fetching vision info: {str(e)}")
+            return False
+
     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
+
+        # first try ollama show API.
+        if self.has_vision(selected):
+            return True
+
+        # then fall back to the old method.)
+
         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"]]:
@@ -529,4 +559,3 @@ 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)
-

src/dialogs.py

@@ -318,7 +318,7 @@ def attach_file_response(self, file_dialog, result):
     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():
+    if file_type == 'image' and not self.model_manager.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)

src/window.py

@@ -50,9 +50,7 @@ class AlpacaWindow(Adw.ApplicationWindow):
     _ = gettext.gettext
 
     #Variables
-    ready = False #Used with welcome dialog
     attachments = {}
-    header_bar = Gtk.Template.Child()
 
     #Override elements
     overrides_group = Gtk.Template.Child()
@@ -94,11 +92,12 @@ 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()
-    launch_dialog = Gtk.Template.Child()
-    launch_status = Gtk.Template.Child()
-    launch_level_bar = Gtk.Template.Child()
+    title_stack = Gtk.Template.Child()
     manage_models_dialog = Gtk.Template.Child()
     model_scroller = Gtk.Template.Child()
 
@@ -207,8 +206,7 @@ class AlpacaWindow(Adw.ApplicationWindow):
             self.welcome_carousel.scroll_to(self.welcome_carousel.get_nth_page(self.welcome_carousel.get_position()+1), True)
         else:
             self.welcome_dialog.force_close()
-            if not self.ready:
-                self.launch_dialog.present(self)
+            self.powersaver_warning_switch.set_active(True)
 
     @Gtk.Template.Callback()
     def change_remote_connection(self, switcher, *_):
@@ -326,19 +324,41 @@ 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
-        for model in list(self.model_manager.available_list):
-            model.set_visible(re.search(entry.get_text(), '{} {} {} {} {}'.format(model.get_name(), model.model_title, model.model_author, model.model_description, (_('image') if model.image_recognition else '')), re.IGNORECASE))
-            if model.get_visible():
-                results += 1
-        if entry.get_text() and results == 0:
-            self.no_results_page.set_visible(True)
-            self.model_scroller.set_visible(False)
-        else:
-            self.model_scroller.set_visible(True)
-            self.no_results_page.set_visible(False)
+        if self.model_manager:
+            for model in list(self.model_manager.available_list):
+                model.set_visible(re.search(entry.get_text(), '{} {} {} {} {}'.format(model.get_name(), model.model_title, model.model_author, model.model_description, (_('image') if model.image_recognition else '')), re.IGNORECASE))
+                if model.get_visible():
+                    results += 1
+            if entry.get_text() and results == 0:
+                self.no_results_page.set_visible(True)
+                self.model_scroller.set_visible(False)
+            else:
+                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():
+                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):
@@ -551,12 +571,16 @@ Generate a title following these rules:
         if self.regenerate_button:
             GLib.idle_add(self.chat_list_box.get_current_chat().remove, self.regenerate_button)
         try:
-            response = self.ollama_instance.request("POST", "api/chat", json.dumps(data), lambda data, message_element=message_element: GLib.idle_add(message_element.update_message, data))
+            response = self.ollama_instance.request("POST", "api/chat", json.dumps(data), lambda data, message_element=message_element: message_element.update_message(data))
             if response.status_code != 200:
                 raise Exception('Network Error')
         except Exception as 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)
+            if message_element.spinner:
+                GLib.idle_add(message_element.container.remove, message_element.spinner)
+                message_element.spinner = None
             GLib.idle_add(chat.show_regenerate_button, message_element)
             GLib.idle_add(self.connection_error)
 
@@ -787,19 +811,11 @@ Generate a title following these rules:
     def power_saver_toggled(self, monitor):
         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, show_launch_dialog:bool):
-        #Show launch dialog
-        if show_launch_dialog:
-            GLib.idle_add(self.launch_dialog.present, self)
-
+    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):
         #Instance
-        self.launch_level_bar.set_value(0)
-        self.launch_status.set_description(_('Loading instance'))
         self.ollama_instance = connection_handler.instance(local_port, remote_url, remote, tweaks, overrides, bearer_token, idle_timer_delay)
 
         #User Preferences
-        self.launch_level_bar.set_value(1)
-        self.launch_status.set_description(_('Applying user preferences'))
         for element in list(list(list(list(self.tweaks_group)[0])[1])[0]):
             if element.get_name() in self.ollama_instance.tweaks:
                 element.set_value(self.ollama_instance.tweaks[element.get_name()])
@@ -818,31 +834,24 @@ Generate a title following these rules:
         #Model Manager
         self.model_manager = model_widget.model_manager_container()
         self.model_scroller.set_child(self.model_manager)
-        self.launch_level_bar.set_value(2)
-        self.launch_status.set_description(_('Updating list of local models'))
-        self.model_manager.update_local_list()
-        self.launch_level_bar.set_value(3)
-        self.launch_status.set_description(_('Updating list of available models'))
-        self.model_manager.update_available_list()
 
         #Chat History
-        self.launch_level_bar.set_value(4)
-        self.launch_status.set_description(_('Loading chats'))
-        GLib.idle_add(self.load_history)
-        self.launch_level_bar.set_value(5)
+        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()
 
-        time.sleep(.5) #This is to prevent errors with gtk creating the launch dialog and closing it too quickly
-        self.ready = True
-        #Close launch dialog
-        GLib.idle_add(self.launch_dialog.force_close)
+        self.send_button.set_sensitive(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
@@ -879,11 +888,13 @@ 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.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))
@@ -900,14 +911,16 @@ Generate a title following these rules:
                     if 'powersaver_warning' not in data:
                         data['powersaver_warning'] = True
                     self.powersaver_warning_switch.set_active(data['powersaver_warning'])
-                    threading.Thread(target=self.prepare_alpaca, args=(data['local_port'], data['remote_url'], data['run_remote'], data['model_tweaks'], data['ollama_overrides'], data['remote_bearer_token'], round(data['idle_timer']), False, True)).start()
+                    threading.Thread(target=self.prepare_alpaca, args=(data['local_port'], data['remote_url'], data['run_remote'], data['model_tweaks'], data['ollama_overrides'], data['remote_bearer_token'], round(data['idle_timer']), False)).start()
             except Exception as e:
                 logger.error(e)
-                threading.Thread(target=self.prepare_alpaca, args=(11435, '', False, {'temperature': 0.7, 'seed': 0, 'keep_alive': 5}, {}, '', 0, True, True)).start()
+                threading.Thread(target=self.prepare_alpaca, args=(11435, '', False, {'temperature': 0.7, 'seed': 0, 'keep_alive': 5}, {}, '', 0, True)).start()
                 self.powersaver_warning_switch.set_active(True)
         else:
-            threading.Thread(target=self.prepare_alpaca, args=(11435, '', False, {'temperature': 0.7, 'seed': 0, 'keep_alive': 5}, {}, '', 0, True, False)).start()
-            self.powersaver_warning_switch.set_active(True)
+            if shutil.which('ollama'):
+                threading.Thread(target=self.prepare_alpaca, args=(11435, '', False, {'temperature': 0.7, 'seed': 0, 'keep_alive': 5}, {}, '', 0, True)).start()
+            else:
+                threading.Thread(target=self.prepare_alpaca, args=(11435, 'http://0.0.0.0:11434', True, {'temperature': 0.7, 'seed': 0, 'keep_alive': 5}, {}, '', 0, True)).start()
             self.welcome_dialog.present(self)
 
         if self.powersaver_warning_switch.get_active():

src/window.ui

@@ -19,7 +19,7 @@
     <property name="content">
       <object class="AdwOverlaySplitView" id="split_view_overlay">
         <property name="show-sidebar" bind-source="show_sidebar_button" bind-property="active" bind-flags="sync-create"/>
-        <property name="sidebar-width-fraction">0.4</property>
+        <property name="sidebar-width-fraction">0.3</property>
         <property name="sidebar">
           <object class="AdwToolbarView">
             <child type="top">
@@ -54,8 +54,9 @@
         </property>
         <child>
           <object class="AdwToolbarView">
+            <property name="height-request">140</property>
             <child type="top">
-              <object class="AdwHeaderBar" id="header_bar">
+              <object class="AdwHeaderBar">
                 <child type="start">
                   <object class="GtkToggleButton" id="show_sidebar_button">
                     <property name="icon-name">sidebar-show-symbolic</property>
@@ -63,6 +64,40 @@
                     <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>
+                    <property name="transition_type">1</property>
+                    <child>
+                      <object class="GtkStackPage">
+                        <property name="name">loading</property>
+                        <property name="child">
+                          <object class="GtkBox">
+                            <property name="orientation">0</property>
+                            <property name="spacing">10</property>
+                            <child>
+                              <object class="GtkSpinner">
+                                <property name="spinning">true</property>
+                              </object>
+                            </child>
+                            <child>
+                              <object class="GtkLabel">
+                                <property name="label" translatable="yes">Loading Instance</property>
+                              </object>
+                            </child>
+                          </object>
+                        </property>
+                      </object>
+                    </child>
+                  </object>
+                </child>
                 <child type="end">
                   <object class="GtkMenuButton" id="secondary_menu_button">
                     <property name="primary">False</property>
@@ -73,6 +108,24 @@
                 </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>
@@ -178,6 +231,7 @@
                                   <property name="vexpand">false</property>
                                   <property name="valign">3</property>
                                   <property name="tooltip-text" translatable="yes">Send Message</property>
+                                  <property name="sensitive">false</property>
                                   <style>
                                     <class name="accent"/>
                                     <class name="circular"/>
@@ -420,27 +474,6 @@
       </child>
     </object>
 
-    <object class="AdwDialog" id="launch_dialog">
-      <accessibility>
-        <property name="label" translatable="yes">Loading Alpaca dialog</property>
-      </accessibility>
-      <property name="width-request">400</property>
-      <property name="can-close">false</property>
-      <child>
-        <object class="AdwStatusPage" id="launch_status">
-          <property name="icon_name">com.jeffser.Alpaca</property>
-          <property name="title" translatable="yes">Loading Alpaca...</property>
-          <property name="child">
-            <object class="GtkLevelBar" id="launch_level_bar">
-              <property name="mode">1</property>
-              <property name="min-value">0</property>
-              <property name="max-value">5</property>
-            </object>
-          </property>
-        </object>
-      </child>
-    </object>
-
     <object class="AdwDialog" id="manage_models_dialog">
       <accessibility>
         <property name="label" translatable="yes">Manage models dialog</property>
@@ -501,6 +534,7 @@
                           <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>

update_translation_files.sh

@@ -24,3 +24,7 @@ echo "Updating Ukrainian"
 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
+echo "Updating Telugu"
+msgmerge --no-fuzzy-matching -U po/te.po po/alpaca.pot