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--- |
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title: Streamlit OCR Application |
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emoji: 📷 |
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colorFrom: blue |
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colorTo: green |
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sdk: streamlit |
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sdk_version: "1.25.0" |
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app_file: app.py |
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pinned: false |
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--- |
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# Streamlit OCR |
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## Overview |
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This project is a Streamlit-based Optical Character Recognition (OCR) application hosted on Hugging Face Spaces. It allows users to extract text from images using various OCR engines and includes a chatbot feature for enhanced interaction. |
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## Features |
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- **Live Camera Feed with OCR Support**: Capture and process images in real-time to extract text. |
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- **Display of Extracted Text**: View the recognized text directly on the screen. |
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- **Adjustable Confidence Score**: Modify the confidence threshold for displaying extracted text. |
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- **Freeze Button**: Use the freeze function to perform chatbot inference on the most recent text. |
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## Usage |
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You can access the application directly on Hugging Face Spaces: [Streamlit OCR + Chatbot App](https://st-ocr.streamlit.app/) |
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## Configuration |
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To run this application on Hugging Face Spaces, ensure you have the following configuration: |
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- **Repository Structure**: Include all necessary files such as `app.py` for Streamlit, and any model or data files required for OCR and chatbot functionalities. |
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- **Dependencies**: List all dependencies in a `requirements.txt` file to ensure they are installed in the Hugging Face environment. |
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- **Space Settings**: Configure the Space settings to use Streamlit as the runtime environment. |
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## TODOS |
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- [ ] Improve the freeze function for smoother operation. |
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- [ ] Fix existing bugs to enhance user experience. |
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## Completed Tasks ✓ |
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- [x] Implemented OCR capability. |
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- [x] Added freeze function for text inference. |
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- [x] Integrated chatbot API call. |
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- [x] Merged code with Streamlit framework. |
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- [x] Enhanced OCR processing speed. |
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- [x] Added multilingual support. |
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## Contributing |
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Contributions are welcome! Please feel free to submit a pull request or open an issue for any bugs or feature requests. |
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## License |
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This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details. |
