Rename app.py to backend.py

app.py

@@ -1,54 +0,0 @@
-import gradio as gr
-from paddleocr import PaddleOCR
-from PIL import Image, ImageOps
-import numpy as np
-
-# Initialize PaddleOCR
-ocr = PaddleOCR(use_angle_cls=True, lang='en')
-
-# Function to process the uploaded/captured image
-def process_uploaded_image(image, camera_type="rear"):
-    if image is None:
-        return "No image uploaded."
-    
-    # Flip the image horizontally for the rear camera
-    if camera_type == "rear":
-        image = ImageOps.mirror(image)
-    
-    # Perform OCR on the corrected image
-    result = ocr.ocr(np.array(image))
-    extracted_text = []
-    for line in result[0]:
-        extracted_text.append(line[1][0])
-    return "\n".join(extracted_text)
-
-# Gradio Interface
-def create_app():
-    with gr.Blocks() as app:
-        gr.Markdown("## Mobile-Friendly OCR with Rear Camera Fix")
-        
-        # Inputs for camera type and image capture/upload
-        with gr.Row():
-            camera_type = gr.Dropdown(
-                choices=["front", "rear"],
-                label="Camera Type",
-                value="rear",
-                interactive=True
-            )
-            image_input = gr.Image(type="pil", label="Upload or Capture Image")
-        
-        # Output for extracted text
-        extracted_text = gr.Textbox(label="Extracted Text")
-        
-        # Button to process the image
-        process_button = gr.Button("Process Image for OCR")
-        process_button.click(
-            fn=process_uploaded_image,
-            inputs=[image_input, camera_type],
-            outputs=extracted_text
-        )
-        
-    return app
-
-if __name__ == "__main__":
-    create_app().launch(share=True)

backend.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from paddleocr import PaddleOCR
+from PIL import Image
+import numpy as np
+
+# Initialize PaddleOCR
+ocr = PaddleOCR(use_angle_cls=True, lang='en')
+
+# Function to process uploaded image
+def process_uploaded_image(image):
+    if image is None:
+        return "No image uploaded."
+    
+    # Perform OCR
+    result = ocr.ocr(np.array(image))
+    extracted_text = []
+    for line in result[0]:
+        extracted_text.append(line[1][0])
+    return "\n".join(extracted_text)
+
+# Gradio Interface
+app = gr.Interface(
+    fn=process_uploaded_image,
+    inputs=gr.Image(type="pil", label="Upload Image"),
+    outputs=gr.Textbox(label="Extracted Text"),
+    title="OCR Processor"
+)
+
+if __name__ == "__main__":
+    app.launch(share=True)