Code Assistant

Application Demo

A Gradio web application that helps with coding questions using various Hugging Face models.

Models Available

• GPT-2 (124M) - General purpose model
• OPT (125M) - Good for text generation
• Pythia (160M) - Good for code
• BLOOM (560M) - Multilingual model
• Phi-1 (1.3B) - Good for coding tasks

Setup

The app requires a HUGGINGFACE_API_TOKEN environment variable to be set.

Features

• Interactive Interface: Users can input prompts and receive code-related responses in real-time.
• Model Integration: Utilizes the CodeLlama2 model for generating code suggestions and explanations.
• History Tracking: Keeps track of user prompts to provide contextually relevant responses.

Requirements

To run this project, you need to have the following Python packages installed:

• langchain
• gradio

You can install the required packages using pip:

Usage

1. Clone the repository:

   git clone https://github.com/KR-16/Code-Assistant-CodeLlama2.git
   cd Code-Assistant-CodeLlama2

2. Start the application:

   python app.py

3. Open your web browser and navigate to http://localhost:7860 to access the interface.

License

This project is licensed under the Apache License 2.0. See the LICENSE file for more details.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for any suggestions or improvements.

Acknowledgments

• Thanks to the developers of CodeLlama2 for providing the model that powers this application.