Gemini Pro LLM App

Welcome to the End-To-End Gemini Project repository! This project facilitates interaction with Gemini Pro Models, offering advanced capabilities in natural language understanding and image processing. Whether you're seeking answers to inquiries or visual representations, our models are equipped to assist you efficiently.

Interpretation with Multiple Images

One of the notable features of this project is its ability to interpret multiple images simultaneously. Users can upload multiple images and receive comprehensive analyses or descriptions for each of them. This functionality enhances the efficiency of image processing tasks, allowing for a more streamlined and productive experience.

Whether you're analyzing datasets, conducting research, or simply exploring visual content, the capability to interpret multiple images provides flexibility and convenience, empowering users to derive insights from diverse sets of visual data effortlessly.

Features

• Chat with Gemini Pro Models for natural language understanding.
• Upload multiple images and receive descriptions or analysis.
• Seamless integration with Streamlit for easy interaction.

Setup

Prerequisites

Before running the application, make sure you have the following installed:

• Python 3.7 or higher
• Streamlit library
• Google Generative AI API key (optional for advanced features)

Installation

1. Clone the repository:

   git clone https://github.com/prakrit338/Gemini-Pro-LLM-Application.git

2. Navigate to the project directory:

   cd Gemini-Pro-LLM-Application

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Run the application:

   streamlit run app.py

2. Access the application in your web browser at http://localhost:8501.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature-name).
3. Make your changes.
4. Commit your changes (git commit -am 'Add some feature').
5. Push to the branch (git push origin feature/your-feature-name).
6. Create a new Pull Request.

License

This project is licensed under the MIT License.

Contact

If you have any questions or suggestions, feel free to reach out to us at [[email protected]].