groqchatbot 🤖

groqchatbot is a high-performance conversational chatbot built using Streamlit and Groq's Language Processing Unit (LPU). It leverages the LangChain framework to provide a seamless and interactive chat experience. This chatbot can answer questions, provide information, and engage in friendly conversations with users.

Features ✨

• Fast and Efficient: Powered by Groq's LPU for low latency and high performance.
• Customizable: Modify system prompts and choose from various models.
• Interactive UI: Built with Streamlit for an intuitive user interface.
• Conversational Memory: Maintains context with a configurable memory length.

Installation 🛠️

1. Clone the repository:

   git clone https://github.com/SauravSrivastav/groqchatbot.git
   cd groqchatbot

2. Create a virtual environment:

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

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up your Groq API Key:

   • Sign up on the Groq website and generate an API key.
   • Set the API key as an environment variable:

     export GROQ_API_KEY=your_groq_api_key

Running the Application 🚀

1. Start the Streamlit app:

   streamlit run app.py

2. Open your browser and navigate to http://localhost:8501 to interact with the chatbot.

Usage Instructions 📖

1. Enter your Groq API Key in the sidebar.
2. Customize the system prompt to guide the chatbot's behavior.
3. Choose a model from the dropdown menu.
4. Adjust the conversational memory length using the slider.
5. Ask a question in the text input box and get responses from the chatbot.

App Screenshots 📸

Detailed Code Explanation 🧩

Main Application (app.py)

Imports and Setup

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endLine: 17

• Import necessary libraries and modules.
• Set up the main function for the Streamlit application.

Sidebar Configuration

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endLine: 32

• Provide instructions for obtaining the Groq API key.
• Input field for the user to enter their API key.

Display and Customization

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• Display the Groq logo.
• Set the title and greeting message.
• Add customization options for system prompts and model selection.

Model Manuals and Memory Configuration

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endLine: 83

• Provide user manuals for each model.
• Configure conversational memory length.

Chat Interaction

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endLine: 95

• Initialize session state for chat history.
• Save context for previous messages.

Initialize Groq Chat and Handle User Input

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endLine: 143

• Initialize the Groq LangChain chat object.
• Construct a chat prompt template.
• Create a conversation chain and handle user questions.
• Display chatbot responses and handle errors.

Contributing 🤝

Contributions are welcome! If you'd like to improve groqchatbot, please fork the repository and submit a pull request. For major changes, please open an issue first to discuss what you would like to change.

License 📄

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

📞 Contact Us

Have questions or suggestions? Reach out to us:

• 📧 Email: [email protected]
• 💼 LinkedIn: in/sauravsrivastav2205
• 🐙 GitHub: https://github.com/SauravSrivastav

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Happy Chatting! 🎉