Update app.py

app.py

@@ -28,6 +28,7 @@ def predict_and_save(img, generator_model):
     
 def run(image_path):
     model = tf.keras.models.load_model('pretrained')  
+    print("Model loaded")
     '''
     img = tf.keras.preprocessing.image.load_img(
         image_path, target_size=(256, 256)
@@ -39,6 +40,7 @@ def run(image_path):
     #predict_and_save(img_array, model)
     img_array = tf.expand_dims(image_path, 0)
     im = predict_and_save(img_array, model)
+    print("Prediction Done")
     return im
 
 iface = gr.Interface(run, gr.inputs.Image(shape=(256, 256)), "image")