fix error

app.py

@@ -43,10 +43,8 @@ def disaster_classification(img):
     image[0] = img
     # prediction = model.predict(image).tolist()[0]
     # prediction = np.random.rand(1, 6)[0]
-    print('hello')
     results = json.loads(rest_request(image, get_rest_url(model_name='disaster-classification-model', host='3.86.228.238')).content)
     prediction = results['predictions'][0]
-    print('hello back')
 
     return {disaster_types[i]: prediction[i] for i in range(len(disaster_types))}
 
@@ -62,7 +60,7 @@ def regional_damage_classification(img):
 
 
 iface = gr.Interface(
-    fn = [disaster_classification],
+    fn = [damage_classification, disaster_classification, regional_damage_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, 
@@ -76,7 +74,7 @@ iface = gr.Interface(
     ],
     title="Soteria - AI for Natural Disaster Response",
     description=""" 
-        Check out our project @ https://github.com/Soteria-ai/Soteria for more explantation! Demo below takes ~15 seconds to get the results.
+        Check out our project @ https://github.com/Soteria-ai/Soteria for more explantation! Demo below should takes ~30 seconds to load, if error occurs try downloading the app under "ml-demo-app" on github and run locally with gradio!
     """,
     theme="grass",
     enable_queue=True