🤖 Gemini Chatbot with Streamlit

An interactive chatbot application built with Streamlit and powered by Google's Gemini API. Engage in dynamic conversations and experience the capabilities of advanced language models.

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🚀 Features

• Conversational AI: Interact with the Gemini language model for real-time responses.
• User-Friendly Interface: Clean and intuitive UI built with Streamlit.
• Session Management: Maintains conversation history during user sessions.
• Secure Configuration: Utilizes environment variables to manage API keys securely.

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🖼️ Demo

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🛠️ Installation

Prerequisites

• Python 3.7 or higher
• pip package manager

Steps

1. Clone the repository:

   Open Command Prompt (ideally in VS Code) and run:

git clone https://github.com/your-username/gemini-chatbot-streamlit.git
cd gemini-chatbot-streamlit

2. Create a virtual environment:

conda create --name gemini-chatbot python=3.9

3. Activate the virtual environment:

conda activate gemini-chatbot

4. Install the dependencies:

pip install -r requirements.txt

5. Set up environment variables:

• Create a .env file in the project root directory.

• Add your Google Gemini API key to it like this:

  GOOGLE_API_KEY=your_google_gemini_api_key
  

6. Run the Streamlit application:

streamlit run app.py

The application should open in your browser at http://localhost:8501.

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🔧 Configuration

• API Key: Store your Gemini API key in the .env file as GOOGLE_API_KEY.
• Streamlit Settings: Optional customization via .streamlit/config.toml.

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🧪 Usage

• Launch the app with streamlit run app.py.
• Enter your queries in the chat input.
• View real-time responses from the Gemini model.
• Session history is preserved during the browser session.

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📈 Roadmap

• Add user authentication
• enable persistent session history
• support mulltiple AI model options
• Dockerize the application for deployment

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🤝 Contributing

Contributions are welcome!

1. Fork this repository.
2. Create a new branch: git checkout -b feature/your-feature
3. Commit your changes: git commit -m 'Add your feature'
4. Push the branch: git push origin feature/your-feature
5. Submit a pull request 🚀

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📄 License

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

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🙏 Acknowledgments

• Streamlit
• Google Gemini API
• Community tutorials and similar open-source projects for inspiration.