https://github.com/hasnocool/ollama-chat-ui
A chat UI built with PyQt6 and Python to interact with an LLM (Large Language Model) using an API, allowing users to have natural-sounding conversations.
https://github.com/hasnocool/ollama-chat-ui
application asynchronous chat gui language natural ollama processing pyqt6 requests threading ui
Last synced: 5 months ago
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A chat UI built with PyQt6 and Python to interact with an LLM (Large Language Model) using an API, allowing users to have natural-sounding conversations.
- Host: GitHub
- URL: https://github.com/hasnocool/ollama-chat-ui
- Owner: hasnocool
- License: mit
- Created: 2024-05-06T08:14:13.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-18T10:34:36.000Z (over 1 year ago)
- Last Synced: 2024-12-25T20:41:42.587Z (over 1 year ago)
- Topics: application, asynchronous, chat, gui, language, natural, ollama, processing, pyqt6, requests, threading, ui
- Language: Python
- Homepage:
- Size: 39.1 KB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Ollama Chat UI: A Minimalist Interactive Conversational Interface
==============================================
## Project Title
------------------
Ollama Chat UI is a minimalist interactive conversational interface built using Python and PyQt6. This project aims to provide a simple yet effective way to engage with AI models like LLaMA.
## Description
---------------
I built this project to experiment with the possibilities of creating a user-friendly interface for interacting with large language models (LLMs). The Ollama Chat UI takes advantage of the [Llama3](https://huggingface.co/spaces/ollama/llama3) model, which is a state-of-the-art AI chatbot that can generate human-like responses.
## Features
------------
* A simple and intuitive graphical user interface (GUI) built with PyQt6
* Support for basic interactions like asking questions, sending messages, and exiting the conversation
* Integration with the Llama3 model to generate human-like responses
* Robust error handling to ensure a smooth user experience
* Code organization and structure inspired by best practices
One cool feature is the **ModelPullThread** class, which enables asynchronous communication with the LLaMA API. This allows for efficient handling of requests and responses, making the chat interface responsive and interactive.
I'm thinking about adding features like:
* Real-time language translation
* Integration with other AI models (e.g., [LLaMA-Tiny](https://huggingface.co/spaces/ollama/llama-tiny))
* Support for multiple chat sessions
## Installation
---------------
To get started, clone the repository and install the required dependencies using pip:
```bash
git clone https://github.com/hasnocool/ollama-chat-ui.git
cd ollama-chat-ui
pip install -r requirements.txt
```
Note: This project requires Python 3.8 or later.
## Usage
---------
1. Run the `main.py` file using Python:
```bash
python main.py
```
2. Interact with the chat interface by typing messages in the input field and clicking the "Send" button.
3. Enjoy conversing with LLaMA!
## Contributing
--------------
Contributions are welcome! If you'd like to contribute to this project, please follow these guidelines:
1. Clone the repository and create a new branch for your changes.
2. Make sure to test your code thoroughly before submitting a pull request.
## License
-------
Ollama Chat UI is released under the **MIT License**. Feel free to use, modify, or distribute this project as you see fit!
## Tags/Keywords
----------------
Python, PyQt6, LLaMA, Llama3, AI chatbot, conversational interface, minimalist design