Update app.py

app.py

@@ -95,7 +95,7 @@ def gradient_ascent_loop(img, iterations, learning_rate, max_loss=None):
     return img
     
     
-def process_image(img,iterations):
+def process_image(img, slider):
   original_img = preprocess_image(img)
   original_shape = original_img.shape[1:3]
 
@@ -111,7 +111,7 @@ def process_image(img,iterations):
       print("Processing octave %d with shape %s" % (i, shape))
       img = tf.image.resize(img, shape)
       img = gradient_ascent_loop(
-          img, iterations=iterations, learning_rate=step, max_loss=max_loss
+          img, iterations=slider, learning_rate=step, max_loss=max_loss
       )
       upscaled_shrunk_original_img = tf.image.resize(shrunk_original_img, shape)
       same_size_original = tf.image.resize(original_img, shape)
@@ -126,7 +126,7 @@ image = gr.inputs.Image()
 slider = gr.inputs.Slider(minimum=5, maximum=30, step=1, default=20, label="Number of ascent steps per scale")
 label = gr.outputs.Image()
 
-iface = gr.Interface(process_image,[image,slider],label,
+iface = gr.Interface(process_image,[image, slider],label,
 	#outputs=[
 	#        gr.outputs.Textbox(label="Engine issue"),
        	#	gr.outputs.Textbox(label="Engine issue score")],