A newer version of the Streamlit SDK is available:
1.48.1
metadata
title: Streamlit OCR Application
emoji: 📷
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.25.0
app_file: app.py
pinned: false
Streamlit OCR
Overview
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.
Features
- Live Camera Feed with OCR Support: Capture and process images in real-time to extract text.
- Display of Extracted Text: View the recognized text directly on the screen.
- Adjustable Confidence Score: Modify the confidence threshold for displaying extracted text.
- Freeze Button: Use the freeze function to perform chatbot inference on the most recent text.
Usage
You can access the application directly on Hugging Face Spaces: Streamlit OCR + Chatbot App
Configuration
To run this application on Hugging Face Spaces, ensure you have the following configuration:
- Repository Structure: Include all necessary files such as
app.pyfor Streamlit, and any model or data files required for OCR and chatbot functionalities. - Dependencies: List all dependencies in a
requirements.txtfile to ensure they are installed in the Hugging Face environment. - Space Settings: Configure the Space settings to use Streamlit as the runtime environment.
TODOS
- Improve the freeze function for smoother operation.
- Fix existing bugs to enhance user experience.
Completed Tasks ✓
- Implemented OCR capability.
- Added freeze function for text inference.
- Integrated chatbot API call.
- Merged code with Streamlit framework.
- Enhanced OCR processing speed.
- Added multilingual support.
Contributing
Contributions are welcome! Please feel free to submit a pull request or open an issue for any bugs or feature requests.
License
This project is licensed under the MIT License. See the LICENSE file for more details.