Talk2Image

Talk2Image is an interactive application that allows users to chat with images using Google's GEMINI Generative AI models. Built with Streamlit, this app provides a seamless way to interact with AI models by uploading images and receiving responses.

Visit the live app: Talk2Image

Features

• Upload images and chat with the AI model.
• Supports various GEMINI models: gemini-1.5, gemini-1.5-pro, gemini-1.0-pro, and gemini-1.5-flash.
• Adjust the temperature setting to control the randomness of the model's responses.
• User-friendly interface built with Streamlit.

Technologies Used:

• LangChain
• Streamlit
• Google Generative AI
• Faiss

Installation:

1. Clone the repository: git clone https://github.com/subhayudutta/Talk2Image.git
2. Navigate to the project directory: cd Talk2Image
3. Install dependencies: pip install -r requirements.txt

Usage:

1. Run the Streamlit app: streamlit run app.py
2. Access the app in your browser at http://localhost:8501

Usage:

1. Open the app in your browser.
2. Enter your Gemini API key if you have one.
3. Adjust the temperature setting using the sidebar slider.
4. Select the desired GEMINI model from the dropdown menu.
5. Upload an image and start chatting!

Example:

Upload an image and enter a message in the chat box. The AI model will generate a response based on the uploaded image and the provided message.

Configure the following settings in the sidebar:

1. Gemini API Key: Enter your Gemini API key for AI model access.
2. Temperature: Adjust the temperature slider for response generation.
3. Model Selection: Choose the appropriate AI model for data analysis.

Contribution:

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

License:

This project is licensed under the GPL-3.0 license. Feel free to customize the README according to your project's specifics!