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WebConverseAI

WebConverseAI is an AI-powered conversational interface that allows users to chat with websites. By leveraging advanced language models and vector storage, it provides a seamless way to interact with the content of any website through a chat interface.

Features

  • AI Conversations: Engage in dynamic conversations with AI about website content.
  • Vector Store: Utilizes langchain_chroma and GoogleGenerativeAIEmbeddings to convert website content into a vector store for efficient retrieval.
  • Retriever Chain: Implements a retrieval chain to fetch relevant information based on the conversation context.

Installation

To set up the project, follow these steps:

  1. Clone the repository.

  2. Install the required packages: pip install -r requirements.txt

  3. Set up your .env file with the necessary API keys: GOOGLE_API_KEY=your_google_api_key_here

Ensure you have this .env file listed in your .gitignore to keep your keys secure.

Usage

To start the application, run: streamlit run Home.py

Enter a website URL when prompted, and start chatting with the AI about the website's content.

Dependencies

  • Streamlit
  • LangChain (Core, Community, Chroma, Google GenAI)
  • BeautifulSoup4
  • python-dotenv
  • ChromaDB

Refer to requirements.txt for the complete list of dependencies.

Contributing

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

License

This project is licensed under the MIT License - see the LICENSE file for details.