krutrim

# कृत्रिम कृत्रिम - Simple AI Chatbot/Agent with MCP built using Streamlit, LangGraph, LangChain, and the Llama3.1 model. It is designed to provide helpful responses to user queries. ## Features - Interactive chatbot interface powered by Streamlit. - Uses LangGraph for state management and LangChain for language model integration. - Powered by the Llama3.1 model via Ollama. ## Setting up MCP Server - Please follow instructions at [ambience-device-mcp](https://github.com/anshulpatel25/ambience-device-mcp) ## Installation Follow these steps to set up and run the project: ### Prerequisites - Python 3.13 or higher - [Pipenv](https://pipenv.pypa.io/en/latest/) for dependency management ### Steps 1. Clone the repository: ```sh git clone https://github.com/your-username/krutrim.git cd krutrim ``` 2. Install dependencies: ```sh uv pip install -r pyproject.toml ``` 3. Install Ollama: Ollama is required to run the Llama3.1 model. Follow the instructions below to install it: Download and install Ollama from [https://ollama.com/download](https://ollama.com/download). 4. Download the `llama3.1` model: Once Ollama is installed, run the following command to download the `llama3.1` model: ```sh ollama pull llama3.1 ``` 5. Set the MCP server URL as environment variable ```sh export KRUTRIM_AMBIENCE_DEVICE_MCP_URL=http://localhost:3333/mcp ``` 6. Run the application: Activate the Pipenv shell and start the Streamlit app: ```sh uv run streamlit run krutrim.py ``` 7. Open your browser: The application will be available at `http://localhost:8501`. ## Usage - Enter your query in the chatbot input field. - The chatbot will respond with helpful answers. - If the chatbot doesn't know the answer, it will respond with "I don't know." ## License This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details. ## Acknowledgments - [Streamlit](https://streamlit.io/) - [LangGraph](https://github.com/langgraph/langgraph) - [LangChain](https://langchain.com/) - [Ollama](https://ollama.com/) - [Llama3.1](https://ollama.com/library/llama3.1)