https://github.com/raghul-m/bookvision
BookVision is a cutting-edge application designed to generate detailed summaries of books from images using Google Gemini Vision Pro model.
https://github.com/raghul-m/bookvision
gemini-pro-vision pythonwebapp streamlit
Last synced: 7 months ago
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BookVision is a cutting-edge application designed to generate detailed summaries of books from images using Google Gemini Vision Pro model.
- Host: GitHub
- URL: https://github.com/raghul-m/bookvision
- Owner: Raghul-M
- License: mit
- Created: 2024-06-28T14:05:25.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-28T18:42:47.000Z (over 1 year ago)
- Last Synced: 2025-01-19T23:24:24.339Z (9 months ago)
- Topics: gemini-pro-vision, pythonwebapp, streamlit
- Language: Python
- Homepage: https://bookvision.streamlit.app/
- Size: 8.79 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Bookvision
BookVision is a cutting-edge application designed to generate detailed summaries of books from images using advanced AI technology. Leveraging the power of the Google
Gemini Vision Pro model, BookVision transforms images of book pages into concise and informative
summaries, making it easier for users to grasp the essence of a book quickly.
## Features
- **AI-Powered Vision Chat**: Engage in dynamic and interactive book summarization with the AI vision chatbot.
- **Google Gemini API**: Utilizes the powerful Gemini-vison-pro model from the Google Gemini API for Image to Text processing.
- **Streamlit Hosting**: The application is hosted on Streamlit, providing a seamless and user-friendly interface.
- **Try It Out**: Visit [Bookvision](https://bookvision.streamlit.app/) to experience the chat application live.
## Getting Started
To run Bookvision locally, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/Raghul-M/Bookvision.git
```
2. Navigate to the project directory:
```bash
cd Bookvision
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
4. Run the Streamlit app:
```bash
streamlit run app.py
```
5. Open your web browser and visit [http://localhost:8501](http://localhost:8501) to interact with StreamChattify locally.
## Usage
- Open the application in your web browser.
- Upload your book cover image in the application to Summarization of the Book
- Experience dynamic responses generated by the Google Gemini API's Gemini-vision-pro model.
## Contributing
If you would like to contribute to Bookvision, feel free to submit pull requests or open issues on the GitHub repository.
## Credits
- StreamChattify is powered by the Google Palm API's Text Bison model.
- Developed with [Streamlit](https://streamlit.io/), a powerful Python framework for creating web applications.
## Contributing
Contributions are welcome! If you have suggestions, bug reports, or want to add new features, feel free to submit a pull request.
Feel free to explore, contribute, and adapt this project to suit your needs. If you encounter any issues or have suggestions for improvement, please raise them in the GitHub repository's issues section. Happy coding! 🚀
Connect with me on linkedin: [Raghul M](https://www.linkedin.com/in/m-raghul/)