Update app.py

app.py

@@ -22,11 +22,11 @@ def pil_image_as_numpy_array(pilimg):
     return img_array
     
 def load_image_into_numpy_array(path):
+                                    
     image = None
-    with open(path, 'rb') as f:
-        image_data = f.read()
-        image = Image.open(BytesIO(image_data))
-    return pil_image_as_numpy_array(image)          
+    image_data = tf.io.gfile.GFile(path, 'rb').read()
+    image = Image.open(BytesIO(image_data))
+    return pil_image_as_numpy_array(image)            
 
 def load_model():
     model_dir = 'saved_model'    
@@ -73,7 +73,7 @@ example_image_paths = ["test_1.jpg"]
 
 # Create a list of example inputs and outputs using a for loop
 example_inputs = [Image.open(path) for path in example_image_paths]
-example_outputs = [predict2(input_image) for input_image in example_inputs]
+example_outputs = [predict2(input_image) for input_image in example_image_paths]
 
 # Create the Gradio interface with examples using a for loop
 examples = [[example_inputs[i], example_outputs[i]] for i in range(len(example_inputs))]