test

app.py

@@ -100,11 +100,12 @@ def make_prediction(alcohol, arrest_type, belts, contributed_to_accident, disobe
 iface = gr.Interface(fn=make_prediction,
                      inputs=[gr.components.Checkbox(label='Was the driver under the influence of alcohol?'),
                              #gr.components.Dropdown(label='Choose the arrest type', choices=tf['OneHotEncoder'].transformers_[0][1].categories_[0], value='A - Marked Patrol'),
-                             'Marked Patrol',
+                            'Marked Patrol',
                              gr.components.Checkbox(label='Were seatbelts used appropriately?'),
                              gr.components.Checkbox(label='Did the driver actions contribute to an accident?'),
                              gr.components.Checkbox(label='Was the driver disobedient? (such as failing to display documentation upon request)?'),
-                             gr.components.Dropdown(label='Choose the driver city', choices=tf['OrdinalEncoder_VeryHighCardinality'].categories_[0], value='SILVER SPRING'),
+                             #gr.components.Dropdown(label='Choose the driver city', choices=tf['OrdinalEncoder_VeryHighCardinality'].categories_[0], value='SILVER SPRING'),
+                             'SILVER SPRING',
                              gr.components.Dropdown(label='Driver Gender', choices=['M', 'F', 'N'], value='M'),
                              gr.components.Checkbox(label='Was the driver driving with Invalid Documentation (such as suspended registration, suspended license, expired registration plates and validation tabs or expired license plate)?'),
                              gr.components.Dropdown(label='Vehicle Make', choices=tf['OrdinalEncoder_HighCardinality'].categories_[0], value='TOYOTA'),