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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.\n\n## Features\n\n- **AI Conversations**: Engage in dynamic conversations with AI about website content.\n- **Vector Store**: Utilizes `langchain_chroma` and `GoogleGenerativeAIEmbeddings` to convert website content into a vector store for efficient retrieval.\n- **Retriever Chain**: Implements a retrieval chain to fetch relevant information based on the conversation context.\n\n## Installation\n\nTo set up the project, follow these steps:\n\n1. Clone the repository.\n2. Install the required packages:\n    ```pip install -r requirements.txt```\n\n3. Set up your `.env` file with the necessary API keys:\n    ```GOOGLE_API_KEY=your_google_api_key_here```\n\nEnsure you have this `.env` file listed in your `.gitignore` to keep your keys secure.\n\n## Usage\n\nTo start the application, run:\n    ```streamlit run Home.py```\n\n\nEnter a website URL when prompted, and start chatting with the AI about the website's content.\n\n## Dependencies\n\n- Streamlit\n- LangChain (Core, Community, Chroma, Google GenAI)\n- BeautifulSoup4\n- python-dotenv\n- ChromaDB\n\nRefer to `requirements.txt` for the complete list of dependencies.\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a pull request or open an issue.\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fai-naymul%2Fwebconverseai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fai-naymul%2Fwebconverseai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fai-naymul%2Fwebconverseai/lists"}