Langchain_Llama

Sure! Below is a README.md file for your project. This file provides an overview of the project, installation instructions, usage guidelines, and other relevant information to help others understand and use your code.

# Langchain Demo with Llama

## Installation

1. **Clone the repository**:
   ```bash
   git clone https://github.com/your-username/langchain-llama-demo.git
   cd langchain-llama-demo

2. Create and activate a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up environment variables: Create a .env file in the project root directory and add the following variables:

   LANGCHAIN_TRACING_V2=true
   LANGCHAIN_PROJECT=App-LLM
   LANGCHAIN_API_KEY=your_langchain_api_key

Usage

1. Run the Streamlit application:

   streamlit run llama_app.py

2. Interact with the application:

   • Open your web browser and go to http://localhost:8501.
   • Enter your question in the input box and press Enter.
   • The response from the Llama model will be displayed on the page.

Environment Variables

The application relies on the following environment variables, which should be defined in a .env file:

• LANGCHAIN_TRACING_V2: Enable tracing for Langchain (set to true).
• LANGCHAIN_PROJECT: The project name for Langchain.
• LANGCHAIN_API_KEY: Your Langchain API key.

Project Structure

langchain-llama-demo/
│
├── llama_app.py            # Main application code
├── requirements.txt        # Project dependencies
├── .env.example            # Example environment variables file
└── README.md               # Project documentation

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Acknowledgements

• Langchain
• Streamlit
• Ollama

### Additional Notes:

1. **Dependencies**: Make sure to include all necessary dependencies in the `requirements.txt` file. You can generate this file using `pip freeze > requirements.txt` if you have all dependencies installed in your virtual environment.

2. **.env.example**: It’s a good practice to include a `.env.example` file in your repository to show which environment variables are needed. Here's a simple `.env.example`:
   ```env
   LANGCHAIN_TRACING_V2=true
   LANGCHAIN_PROJECT=App-LLM
   LANGCHAIN_API_KEY=your_langchain_api_key

Example requirements.txt:

langchain-openai
langchain-core
langchain-community
python-dotenv
streamlit

This README.md should help users understand how to set up and use your project. Make sure to replace your-username and your_langchain_api_key with appropriate values.