Update app.py

app.py

@@ -1,30 +1,38 @@
-# 1. Use Python 3.10 (Most stable for Paddle)
-FROM python:3.10
+import gradio as gr
+from paddleocr import PaddleOCR
+import cv2
+import numpy as np
 
-# 2. Set working directory
-WORKDIR /app
+# Initialize OCR (use_gpu=False is critical for free Spaces)
+# This will load the models we pre-downloaded in the Dockerfile
+ocr = PaddleOCR(use_angle_cls=True, lang='en', use_gpu=False)
 
-# 3. INSTALL MISSING GRAPHICS LIBRARIES (This fixes the "Starting" crash)
-RUN apt-get update && apt-get install -y \
-    libgl1 \
-    libglib2.0-0 \
-    libsm6 \
-    libxext6 \
-    libxrender-dev \
-    && rm -rf /var/lib/apt/lists/*
+def run_ocr(image):
+    if image is None:
+        return "Error: No image provided"
+    
+    try:
+        # PaddleOCR expects a numpy array
+        result = ocr.ocr(image, cls=True)
+        
+        txts = []
+        if result and result[0]:
+            # Extract just the text strings
+            txts = [line[1][0] for line in result[0]]
+            
+        return "\n".join(txts)
+    except Exception as e:
+        return f"Error during OCR: {str(e)}"
 
-# 4. Copy requirements and install
-COPY requirements.txt requirements.txt
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
+# Define the interface
+demo = gr.Interface(
+    fn=run_ocr,
+    inputs=gr.Image(type="numpy", label="Upload Screenshot"),
+    outputs=gr.Textbox(label="Detected Text", lines=10),
+    title="PaddleOCR API",
+    description="Upload Mobile Legends screenshots to extract text."
+)
 
-# 5. Pre-download the models so they don't timeout your browser
-# (This runs a dummy scan during build to cache the files)
-RUN pip install paddlepaddle==2.6.2 paddleocr==2.7.3 numpy<2.0.0
-RUN python -c "from paddleocr import PaddleOCR; PaddleOCR(use_angle_cls=False, lang='en', use_gpu=False)"
-
-# 6. Copy App Code
-COPY . .
-
-# 7. Start the Server
-CMD ["python", "app.py"]
+if __name__ == "__main__":
+    # CRITICAL FIX: server_name="0.0.0.0" allows Hugging Face to see your app
+    demo.launch(server_name="0.0.0.0", server_port=7860)