Update app.py

app.py

@@ -3,8 +3,8 @@ import cv2
 from pyzbar.pyzbar import decode
 from PIL import Image
 import numpy as np
-import base64
 import io
+import base64
 
 def scan_qr_code(image):
     """
@@ -17,28 +17,28 @@ def scan_qr_code(image):
     str: The decoded QR code data with a descriptive message.
     """
     try:
-        # Handle different input types
+        if image is None:
+            return "No image provided"
+
+        # Convert to PIL Image if needed
         if isinstance(image, np.ndarray):
-            open_cv_image = image
-        elif isinstance(image, Image.Image):
-            open_cv_image = np.array(image)
-            open_cv_image = open_cv_image[:, :, ::-1].copy()
+            image = Image.fromarray(image)
         elif isinstance(image, str):
-            # Handle base64 encoded images
-            if image.startswith('data:image'):
-                image = Image.open(io.BytesIO(base64.b64decode(image.split(',')[1])))
-                open_cv_image = np.array(image)
-                open_cv_image = open_cv_image[:, :, ::-1].copy()
-            else:
-                # Handle file paths
-                try:
+            try:
+                if image.startswith('data:image'):
+                    # Handle base64 encoded images
+                    image_data = base64.b64decode(image.split(',')[1])
+                    image = Image.open(io.BytesIO(image_data))
+                else:
+                    # Handle file paths
                     image = Image.open(image)
-                    open_cv_image = np.array(image)
-                    open_cv_image = open_cv_image[:, :, ::-1].copy()
-                except Exception as e:
-                    return f"Error opening image: {str(e)}"
-        else:
-            return "Unsupported image format"
+            except Exception as e:
+                return f"Error opening image: {str(e)}"
+
+        # Convert to OpenCV format
+        open_cv_image = np.array(image)
+        if len(open_cv_image.shape) == 3:  # Color image
+            open_cv_image = cv2.cvtColor(open_cv_image, cv2.COLOR_RGB2BGR)
 
         # Decode QR code
         decoded_objects = decode(open_cv_image)
@@ -54,12 +54,14 @@ def scan_qr_code(image):
 # Define the Gradio interface
 iface = gr.Interface(
     fn=scan_qr_code,
-    inputs=gr.Image(type="numpy"),  # Changed to numpy type
-    outputs=gr.Textbox(),
+    inputs=gr.Image(label="Upload QR Code Image"),  # Removed type parameter
+    outputs=gr.Textbox(label="Result"),
     title="QR Code Scanner",
-    description="Upload an image containing a QR code to decode it."
+    description="Upload an image containing a QR code to decode it.",
+    examples=[],  # You can add example images here
+    cache_examples=False
 )
 
 # Launch the Gradio app
 if __name__ == "__main__":
-    iface.launch()
+    iface.launch(share=True)  # Added share=True for public access