disaster type class

app.py

@@ -23,7 +23,6 @@ disaster_types = np.array(sorted(['volcano', 'flooding', 'earthquake', 'fire', '
 damage_levels = np.array(['no damage', 'minor damage', 'major damage', 'destroyed'])
 
 
-
 def damage_classification(img):
     # prediction = np.random.rand(1, 2)[0]
     # return {damage_types[i]: prediction[i] for i in range(len(damage_types))}
@@ -58,7 +57,7 @@ def regional_damage_classification(img):
 
 
 iface = gr.Interface(
-    fn = [damage_classification, disaster_classification, regional_damage_classification],
+    fn = [disaster_classification],
     inputs = gr.inputs.Image(shape=(1024, 1024), image_mode='RGB', invert_colors=False, source="upload", type='numpy'), 
     outputs = gr.outputs.Label(),
     allow_screenshot=True,