Add HF Spaces metadata to README

README.md

@@ -1,90 +1,12 @@
-# OCR Backend
-
-Backend API for OCR on handwritten images.
-
-## Setup
-
-1.  Create a virtual environment:
-    ```bash
-    python -m venv venv
-    ```
-2.  Activate the environment:
-    *   Windows:
-        ```bash
-        .\venv\Scripts\activate
-        ```
-3.  Install dependencies:
-    ```bash
-    pip install -r requirements.txt
-    ```
-4.  **For Tesseract OCR:** Install Tesseract on your system. Download from [Tesseract GitHub](https://github.com/tesseract-ocr/tesseract).
-    *   If `pytesseract` can't find Tesseract, you might need to set the path in `app.py`:
-        ```python
-        pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
-        ```
-5.  **For PDF processing:** Install Poppler. Download from [Poppler for Windows](https://github.com/oschwartz10612/poppler-windows/releases).
-    *   You will need to update the `poppler_path` in `app.py` to point to the `bin` directory of your Poppler installation (e.g., `r'C:\Program Files\poppler-0.68.0\bin'`)
-
-## Run
-
-```bash
-python app.py
-```
-
-API will be at `http://127.0.0.1:5000`.
-
-## API Endpoints
-
-### `POST /easyocr`
-
-Uses EasyOCR to extract text from images.
-
-**Request:** `multipart/form-data` with `images` (one or more image files).
-
-**Example (curl):**
-
-```bash
-curl -X POST -F "images=@/path/to/your/image1.png" http://127.0.0.1:5000/easyocr
-```
-
-### `POST /tesseract`
-
-Uses Tesseract OCR to extract text from images.
-
-**Request:** `multipart/form-data` with `images` (one or more image files).
-
-**Example (curl):**
-
-```bash
-curl -X POST -F "images=@/path/to/your/image1.png" http://127.0.0.1:5000/tesseract
-```
-
-### `POST /process_question_paper`
-
-Processes an image or PDF of a question paper to extract questions and answers.
-
-**Request:** `multipart/form-data` with `file` (a single image or PDF file).
-
-**Example (curl for image):**
-
-```bash
-curl -X POST -F "file=@/path/to/your/question_paper.png" http://127.0.0.1:5000/process_question_paper
-```
-
-**Example (curl for PDF):**
-
-```bash
-curl -X POST -F "file=@/path/to/your/question_paper.pdf" http://127.0.0.1:5000/process_question_paper
-```
-
-### `GET /evaluate_answers`
-
-Compares OCR extracted texts with the answers from the last processed question paper.
-
-**Request:** None (GET request).
-
-**Example (curl):**
-
-```bash
-curl -X GET http://127.0.0.1:5000/evaluate_answers
-```
+---
+title: OCR OMR Backend
+emoji: 📝
+colorFrom: blue
+colorTo: green
+sdk: docker
+app_port: 7860
+---
+
+# OCR/OMR Backend API
+
+Flask backend for OCR and OMR processing.