app.py

app.py

@@ -29,11 +29,11 @@ octave_scale = 1.4  # Size ratio between scales
 iterations = 20  # Number of ascent steps per scale
 max_loss = 15.0
 
-def preprocess_image(image_path):
+def preprocess_image(img):
     # Util function to open, resize and format pictures
     # into appropriate arrays.
-    img = keras.preprocessing.image.load_img(image_path)
-    img = keras.preprocessing.image.img_to_array(img)
+    #img = keras.preprocessing.image.load_img(image_path)
+    #img = keras.preprocessing.image.img_to_array(img)
     img = np.expand_dims(img, axis=0)
     img = inception_v3.preprocess_input(img)
     return img
@@ -95,8 +95,8 @@ def gradient_ascent_loop(img, iterations, learning_rate, max_loss=None):
     return img
     
     
-def process_image(base_image_path):
-  original_img = preprocess_image(base_image_path)
+def process_image(img):
+  original_img = preprocess_image(img)
   original_shape = original_img.shape[1:3]
 
   successive_shapes = [original_shape]