Groq Chat Streamlit App

This Streamlit app integrates with the Groq API to provide a chat interface where users can interact with advanced language models. It allows users to choose between two models for generating responses, enhancing the flexibility and user experience of the chat application.

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Features

• Model Selection: Users can select between mixtral-8x7b-32768 and llama2-70b-4096 models to tailor the conversation according to the capabilities of each model.
• Chat History: The app maintains a session-based chat history, allowing for a continuous conversation flow during the app session.
• Dynamic Response Generation: Utilizes a generator function to stream responses from the Groq API, providing a seamless chat experience.
• Error Handling: Implements try-except blocks to gracefully handle potential errors during API calls.

Requirements

• Streamlit
• Groq Python SDK
• Python 3.7+

Setup and Installation

• Install Dependencies:

  pip install streamlit groq

• Set Up Groq API Key:

  Ensure you have an API key from Groq. This key should be stored securely using Streamlit's secrets management:

  • Create .streamlit/secrets.toml file and add the API Key

  # .streamlit/secrets.toml
  GROQ_API_KEY="your_api_key_here"

• Create environment

  • Creates environment inside project folder itself

  conda create -p venv -y 

  • Activate the environment using below command

  conda activate .\venv

• Run the App: Navigate to the app's directory and run:

  streamlit run app.py

Usage

Upon launching the app, you are greeted with a title and a model selection dropdown.

After choosing a preferred model, you can start interacting with the chat interface by entering prompts.

The app displays both the user's questions and the AI's responses, facilitating a back-and-forth conversation.

Customization

The app can be easily customized to include additional language models (as Groq adds more), alter the user interface, or extend the functionality to incorporate other types of interactions with the Groq API.

Contributing

Contributions to enhance the app, fix bugs, or improve documentation are welcome.

Please feel free to fork the repository, make your changes, and submit a pull request.