Update app.py

app.py

@@ -15,14 +15,14 @@ def infer(original_image):
     image = keras.preprocessing.image.img_to_array(original_image)
     image = image.astype("float32") / 255.0
     image = np.expand_dims(image, axis=0)
-    print(image.shape())
+    
     output = model.predict(image)
     # print(len(output))
     # print([len(a) for a in output])
     output_image = output[0] * 255.0
     output_image = output_image.clip(0, 255)
     output_image = output_image.reshape(
-        (np.shape(output_image)[0], np.shape(output_image)[1], 3)
+        (np.shape(image)[0], np.shape(image)[1], 3)
     )
     output_image = np.uint32(output_image)