mickymultani/Streaming-LLM-Chat

Interactive chat application leveraging OpenAI's GPT-4 for real-time conversation simulations. Built with Flask, this project showcases streaming LLM responses in a user-friendly web interface.

Streaming LLM Chat

Streaming LLM Chat is a web application built with Flask and OpenAI's GPT-4 models, designed to provide an interactive chat experience using large language models (LLMs).

Features

• Interactive chat interface with real-time response streaming.
• Integration with OpenAI's GPT-4 for intelligent and coherent responses.
• Simple and easy to set up with minimal configuration required.
• Browser automation for easy access to the chat interface upon starting the application.
• Requires Python 3.10.x

Installation

To run Streaming LLM Chat on your local machine, follow these steps:

1. Clone the repository:

   git clone https://github.com/mickymultani/Streaming-LLM-Chat.git
   cd Streaming-LLM-Chat
   

2. Create and activate a virtual environment:

   # For Windows
   python -m venv venv
   .\venv\Scripts\activate
   
   # For Unix or MacOS
   python3 -m venv venv
   source venv/bin/activate
   

3. Install the required packages:

   pip install -r requirements.txt
   

4. Set your OpenAI API key as an environment variable in a .env file in the root directory:

   OPENAI_API_KEY=your_api_key_here
   

Usage

Run the application:

python app.py

The application will start a local server and automatically open the chat interface in your default web browser.

Contributing

Contributions are welcome! If you have suggestions or contributions to the code, please follow the standard GitHub pull request process to propose your changes.

License

This project is licensed under the MIT License.