Update README.md

README.md

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-# Educational Question Solver - Hugging Face Spaces
-
-This is a Python backend that processes screenshots of questions using OCR and provides AI-powered answers for educational purposes.
-
-## Features
-
-- **OCR Processing**: Uses Microsoft's TrOCR model to extract text from images
-- **AI Answers**: Integrates with OpenAI's GPT-4 to provide concise answers
-- **Gradio Interface**: Web interface for testing and manual uploads
-- **API Endpoint**: REST API for integration with the Electron app
-
-## Setup on Hugging Face Spaces
-
-1. Create a new Space on Hugging Face
-2. Upload these files to your Space
-3. Set the following secrets in your Space settings:
-   - `OPENAI_API_KEY`: Your OpenAI API key
-
-## Local Development
-
-1. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-2. Set environment variable:
-   ```bash
-   export OPENAI_API_KEY="your-openai-api-key"
-   ```
-
-3. Run the app:
-   ```bash
-   python app.py
-   ```
-
-## API Usage
-
-The Electron app will send POST requests to `/api/process` with the following format:
-
-```json
-{
-  "image_data": "base64-encoded-image-string"
-}
-```
-
-Response format:
-```json
-{
-  "extracted_text": "Question text extracted from image",
-  "answer": "AI-generated answer",
-  "success": true
-}
-```
-
-## Educational Use Only
-
-This tool is designed for educational purposes to help students understand concepts and learn from examples. Please use responsibly and in accordance with your institution's academic integrity policies.
+---
+license: apache-2.0
+title: cheating
+sdk: gradio
+emoji: 🏃
+colorFrom: red
+colorTo: red
+---