Update app.py

app.py

@@ -34,16 +34,8 @@ def load_model():
     detection_model = tf.saved_model.load(saved_model_dir)
     return detection_model
 
-def load_model2():
-    wget.download("https://drive.google.com/uc?export=download&id=1MasePsUVgjfWofmUhmMCvruOHuZMg7KG")
-    tarfile.open("balloon_model.tar.gz").extractall()
-    model_dir = 'saved_model'    
-    detection_model = tf.saved_model.load(str(model_dir))
-    return detection_model    
-
-# samples_folder = 'test_samples
-# image_path = 'test_samples/sample_balloon.jpeg
-# 
+
+
 
 def predict(pilimg):