Update app.py

app.py

@@ -13,7 +13,7 @@ compiled_model = ie.compile_model(model=model, device_name="CPU")
 input_layer = compiled_model.input(0)
 output_layer = compiled_model.output(0)
 
-# Define a function to process the image and make predictions
+# Function to process the image and make predictions
 def predict(image):
     # Preprocess the image
     image_resized = cv2.resize(image, (input_layer.shape[-2], input_layer.shape[-1]))
@@ -22,8 +22,7 @@ def predict(image):
     # Run inference
     result = compiled_model([input_image])[output_layer]
     
-    # Process the result (you can adjust this depending on your model's output format)
-    # Here we assume the result is a list of detected boxes and scores
+    # Process the result    
     detected_boxes = result[:, :4]
     scores = result[:, 4]