changed stuff

app.py

@@ -21,16 +21,15 @@ except Exception as e:
     print(f"Error loading model: {e}")
     model = None
 
-def detect_and_blur(input_image):
+def detect_and_blur(image):
     """Process and blur sensitive content in image"""
-    if input_image is None:
-        return None, "Please upload an image"
-    
-    # Convert from Gradio format
-    if isinstance(input_image, Image.Image):
-        img_array = np.array(input_image)
+    # Handle different input types
+    if isinstance(image, np.ndarray):
+        img_array = image
+    elif isinstance(image, str):
+        img_array = np.array(Image.open(image).convert('RGB'))
     else:
-        img_array = input_image
+        return None, "Invalid input type"
     
     # Process the image
     result_img = img_array.copy()
@@ -68,37 +67,35 @@ def detect_and_blur(input_image):
     except Exception as e:
         return img_array, f"Error: {str(e)}"
     
-    message = f"Detected and blurred {detections['faces']} faces and {detections['plates']} plates/text regions"
+    message = f"Detected and blurred {detections['faces']} faces and {detections['plates']} license plates/text regions"
     return result_img, message
 
-# Create a simple interface
-title = "Privacy Protector: Blur Faces, Plates, and Text"
-description = "Upload an image to automatically blur faces, license plates, and text"
+# Create example_images directory if it doesn't exist
+os.makedirs("examples", exist_ok=True)
+
+# Define the Gradio interface
+title = "Privacy Protector: Automatic Blurring"
+description = (
+    "Upload an image to automatically blur faces, license plates, and text for privacy protection.\n"
+    "This model uses YOLOv8 to detect and blur sensitive content."
+)
 
-# Use Interface instead of Blocks for more stability
-iface = gr.Interface(
+interface = gr.Interface(
     fn=detect_and_blur,
-    inputs=gr.Image(type="numpy"),
+    inputs=gr.Image(),  # Accept any image
     outputs=[
-        gr.Image(type="numpy", label="Processed Image"),
+        gr.Image(label="Processed Image"),
         gr.Textbox(label="Detection Results")
     ],
     title=title,
     description=description,
-    theme=gr.themes.Base(),
-    allow_flagging="never",
-    # Use examples from URLs to avoid file permission issues
     examples=[
-        "https://raw.githubusercontent.com/ultralytics/yolov5/master/data/images/zidane.jpg",
-        "https://raw.githubusercontent.com/ultralytics/ultralytics/main/docs/images/bus.jpg"
-    ],
-    cache_examples=False  # Disable caching to avoid permission issues
+        # Following your friend's format: list of single-item lists
+        ['examples/example1.jpg'],
+        ['examples/example2.jpg']
+    ]
 )
 
-# Launch with the correct server parameters for containerized environments
+# Launch the app
 if __name__ == "__main__":
-    iface.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        share=False
-    )
+    interface.launch()