satvik314/basic_chat_template

basic_chat_template

🗣️ Conversational Chatbot with Streamlit and LangChain

This project demonstrates a simple chat interface for interacting with large language models (LLMs) using Streamlit and LangChain. It allows you to engage in natural conversations with LLMs like OpenAI's GPT-3.5-turbo or Google's Gemini-pro.

Installation

1. Clone the repository:

   git clone https://github.com/satvik314/basic_chat_template.git

2. Install the required dependencies:

   cd basic_chat_template
   pip install -r requirements.txt

Configuration

1. Set up your API keys:

   • Create a .env file in the project directory and add the following lines, replacing the placeholders with your actual API keys:

     OPENAI_API_KEY=your_openai_api_key
     GOOGLE_API_KEY=your_google_api_key
     

   • Note: Ensure that the .env file is included in your .gitignore to prevent accidental exposure of your API keys.

Running the App

1. Run the Streamlit app:

   streamlit run app.py

2. Open your browser and navigate to http://localhost:8501 to access the chat interface.

Usage

1. Type your questions or prompts in the chat input field.
2. The chatbot will respond based on the selected LLM and your previous interactions.
3. You can continue the conversation by asking follow-up questions or providing new prompts.

Features

• Simple and intuitive chat interface: Streamlit provides a user-friendly way to interact with the chatbot.
• Integration with LangChain: LangChain enables seamless interaction with various LLMs.
• Conversation history: The app maintains a conversation history, allowing for context-aware responses.
• Support for multiple LLMs: You can choose between OpenAI's GPT-3.5-turbo or Google's Gemini-pro (ensure you have the necessary API keys).

Contributing

Contributions are welcome! If you have any ideas for improvements or encounter any issues, feel free to open an issue or submit a pull request.

License

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