Gemini Pro Vision Image Recognition with Streamlit

This repository contains a Streamlit application that uses the Gemini Pro Vision API to recognize and describe the content of an uploaded image based on a customizable prompt text box.

Features

• Upload an image and get a description based on a prompt.
• Customize the prompt to get specific descriptions.
• Simple and user-friendly web interface.

Installation

1. Clone the repository:

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

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

4. Install the dependencies:

   pip install -r requirements.txt

Configuration

1. Create a .env file in the root directory of the project and add your Gemini Pro Vision API key:

   GEMINI_API_KEY=your_gemini_api_key_here

Usage

1. Run the Streamlit application:

   streamlit run app.py

2. Open your web browser and go to http://localhost:8501 to view the application.

3. Upload an image and enter a prompt to get a description based on the prompt.

Code Overview

The main components of the application are:

• app.py: The main application file that contains the Streamlit code.
• requirements.txt: The file that lists the Python dependencies for the project.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any changes.

Acknowledgements

• Streamlit
• Gemini Pro Vision
• python-dotenv