Update app.py

app.py

@@ -1,33 +1,31 @@
 import gradio as gr
 from paddleocr import PaddleOCR
-import cv2
 import numpy as np
 
 # ---------------------------------------------------------
-# CRITICAL FIXES FOR FREE TIER
-# 1. cpu_threads=1       -> Prevents "primitive" crash
-# 2. enable_mkldnn=False -> Prevents memory overflow
-# 3. use_angle_cls=False -> 30% FASTER speed (Skins are always upright)
+# STABILITY CONFIGURATION
+# enable_mkldnn=False : STOPS the "primitive" crash
+# cpu_threads=1       : STOPS memory overloading
 # ---------------------------------------------------------
 ocr = PaddleOCR(
-    use_angle_cls=False,  
+    use_angle_cls=False, 
     lang='en', 
     use_gpu=False, 
-    enable_mkldnn=False,
+    enable_mkldnn=False, 
     cpu_threads=1
 )
 
 def run_ocr(image):
-    if image is None: return "Error: No image"
+    if image is None: return "Error: No Image"
     try:
-        # PaddleOCR expects a numpy array
+        # Run OCR
         result = ocr.ocr(image, cls=True)
         txts = [line[1][0] for line in result[0]] if result and result[0] else []
         return "\n".join(txts)
     except Exception as e:
+        # If it fails, return the error safely
         return f"Error: {str(e)}"
 
-# Define the interface with explicit API name
 demo = gr.Interface(
     fn=run_ocr,
     inputs=gr.Image(type="numpy"),
@@ -35,6 +33,5 @@ demo = gr.Interface(
     api_name="predict"
 )
 
-# Queue max_size=20 prevents the server from freezing if you spam it
 if __name__ == "__main__":
     demo.queue(max_size=20).launch(server_name="0.0.0.0", server_port=7860)