Whiz

This Python script allows users to integrate a Q&A chatbot into their project. The chatbot leverages the power of OpenAI's ChatGPT to answer questions related to the project. It uses the LangChain library for text processing and retrieval.

Features

• Interactive Q&A: Users can ask questions and receive answers related to their project.
• Intelligent Answering: The chatbot utilizes OpenAI's ChatGPT model to provide informative and context-aware responses.
• Project Data Caching: The script caches project data to enhance search and retrieval speed.

Prerequisites

Before running the script, ensure you have the following:

• Python 3.x installed on your system.
• An OpenAI API key. Sign up on the OpenAI website to obtain an API key.

Installation

1. Clone or download the project files to your local machine.

2. Install the required dependencies by running the following command:

pip install -r requirements.txt

3. Set your OpenAI API key as an environment variable:

export OPENAI_API_KEY="your-openai-api-key"

Usage

1. Place the script in your project directory.

2. Open a terminal or command prompt and navigate to your project directory.

3. Run the script using the following command:

python whiz.py

4. The chatbot will start running and wait for your questions. Type your questions and press Enter to receive the chatbot's responses. To exit the chatbot, type "exit" and press Enter.

Customization

• File Extensions: By default, the script searches for project files with popular extensions such as .py, .html, .css, etc. If you want to include or exclude specific file extensions, modify the file_extensions list in the script.

• Search Parameters: The script uses default search parameters for retrieval, such as the distance metric, fetch limit, and relevance. If you want to customize these parameters, modify the retriever.search_kwargs dictionary in the script.

• Language Model: The script utilizes the OpenAI ChatGPT model for answering questions. If you want to use a different model or experiment with other language models, you can modify the model variable in the script.

Acknowledgments

• OpenAI for their powerful language models and APIs.
• LangChain for providing text processing and retrieval capabilities.
• GitPython for Git integration in Python.

Contact

For any questions or suggestions, please feel free to reach out to piotrwilczek@gmail.com.