Chainlit Chatbot Project

This project is a Chainlit-powered chatbot that leverages LLMs and custom knowledge sources. Follow these instructions to set up and run the project locally or share it with others.

🚀 Features

• Customizable chatbot logic (e.g., drug analyzer, first aid, music, or sexual/reproductive health)
• Loads knowledge from web URLs, PDFs, and more
• Built with Chainlit for rapid prototyping and sharing

🛠️ Setup Instructions

1. Clone the Repository

git clone https://github.com/your-username/your-repo-name.git
cd your-repo-name

2. Create a Virtual Environment

Activate it:

• On Windows:
• On macOS/Linux:

3. Install Requirements

pip install -r requirements.txt

4. Set Up Environment Variables

Some LLM providers (e.g., Groq) require API keys.
Set your API key as an environment variable (example for Windows):

set GROQ_API_KEY=your_groq_api_key_here

Or edit the code to insert your key directly (not recommended for production).

5. Add Your Data Sources

• Place your PDFs, Excel files, or other data in the project directory as needed.
• Edit the source lists in the code (e.g., DRUG_SOURCES in chatboturl.py) to point to your files or URLs.

6. Run the Chainlit App

chainlit run chatboturl.py

• The app will be available at http://localhost:8000.

7. (Optional) Make the App Public with ngrok

• Download ngrok and run:
• Share the generated public URL.

📝 Customizing the Welcome Screen

Edit the chainlit.md file at the root of the project to change the welcome message shown to users.

🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

📄 License

MIT (or your chosen license)

Happy coding