📌 Image-Summarization

🔥 Multimodal Content Generation using Google’s Gemini Models

This project is a Streamlit-based web application that enables chat-based text generation and image summarization using Google’s Gemini models (gemini-1.5-flash for vision tasks and gemini-pro for text generation).

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🚀 Features

✅ Chat & Image Summarization – Generate responses based on text prompts and images. ✅ Text-to-Image – Expandable multimodal capability (future implementation). ✅ Real-time Streaming – Get responses word-by-word using a simulated streaming effect. ✅ User-friendly Interface – Simple and interactive UI with image upload support.

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🖼️ Usage

1. Upload an image (optional).
2. Enter a text prompt in the chatbox.
3. The model will process the input and generate text responses.
4. If an image is uploaded, the model will generate a multimodal response combining vision and text.

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📌 Technologies Used

• Streamlit – Interactive Web UI
• Google Generative AI – gemini-1.5-flash, gemini-pro
• PIL (Pillow) – Image Processing
• dotenv – Environment Variable Management

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📄 To-Do List

🔹 Enhance Text-to-Image (future expansion). 🔹 Improve Chat History Persistence. 🔹 Add More Model Options for users.

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🤝 Contributing

Contributions are welcome! If you’d like to improve this project, feel free to:

1. Fork the repo.
2. Create a new branch (feature-branch).
3. Commit your changes.
4. Open a Pull Request.

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📜 License

This project is open-source and available under the MIT License.

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🌟 Acknowledgments

Thanks to Google AI for providing Gemini models and Streamlit for making UI development seamless.

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