Gemini-Pro Chatbot with Streamlit

This repository contains a Streamlit application for interacting with the Google Gemini-Pro AI model. The chatbot uses Streamlit's user-friendly interface to facilitate conversational AI interactions.

gemini-pro-streamlit-chatbot

This repository is about building a chatbot using Google's Gemini-Pro with streamlit.

Features

• Streamlit-based Chat Interface: A simple, clean interface for interacting with the chatbot.
• Google Gemini-Pro Integration: Utilizes the Gemini-Pro generative AI model for advanced conversational capabilities.
• Customizable Themes: Includes a custom dark theme with white background for better readability.
• Session Persistence: Maintains chat history within the session.

Requirements

• Python 3.9 or above
• streamlit
• python-dotenv
• google-generativeai

Installation

1. Clone the repository:

   git clone <repository_url>
   cd <repository_name>

2. Create a virtual environment and activate it:

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

3. Install the required dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

   • Create a .env file in the root directory.
   • Add your Google API key:

     GOOGLE_API_KEY=your_google_api_key

Usage

1. Run the Streamlit application:

   streamlit run app.py

2. Open the application:

   • The application will open in your default web browser, or you can access it at http://localhost:8501.

3. Interact with the chatbot:

   • Type your query in the input field labeled "Ask Gemini-Pro..." and view the responses from Gemini-Pro AI.

File Structure

• app.py: Main Streamlit application file.
• .env: Environment variables file (not included; you need to create this).
• requirements.txt: Python dependencies for the project.

Customization

Page Theme

The custom theme uses CSS injected via Streamlit's st.markdown to provide a white background and dark text for better readability. You can modify the theme by editing the CSS block in the app.py file:

st.markdown(
    """
    <style>
        body {
            background-color: white;
            color: #333333;
        }
        .st-bq {
            background-color: #f5f5f5 !important;
            color: #333333 !important;
        }
    </style>
    """,
    unsafe_allow_html=True
)

Google Gemini-Pro API Configuration

The Google Gemini-Pro AI model is configured using the google-generativeai library. Ensure that you have a valid API key and that it is stored in the .env file as GOOGLE_API_KEY.

Contributing

Contributions are welcome! Feel free to submit a pull request or open an issue to discuss changes or new features.

Acknowledgments

• Streamlit for the interactive UI framework.
• Google Generative AI for the Gemini-Pro model.
• Dotenv for managing environment variables.