LangChain Project with PaLM 2

This project demonstrates the integration of LangChain with PaLM 2 for natural language processing tasks.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Configuration
• Contributing
• License

Introduction

LangChain is a powerful framework for building language models, and PaLM 2 is a state-of-the-art model for natural language understanding. This project showcases how to combine these tools to create robust NLP applications.

Features

• Integration with PaLM 2
• Modular and extensible architecture
• Sample applications and use cases

Installation

1. Clone the repository:

   git clone https://github.com/mahesh-shali/palm2.git
   cd palm2

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Set up your environment variables:

   Create a .env file in the project root and add your PaLM 2 API key:

   PALM2_API_KEY=your_api_key_here
   

2. Run the main script:

   python main.py

   Replace main.py with the actual entry point of your application.

Output

Configuration

All configuration settings are managed through the .env file and the main.py script. Ensure that your API keys and other sensitive information are correctly set up in the .env file.

Contributing

We welcome contributions! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Create a new Pull Request.

License

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