Update app.py

app.py

@@ -51,7 +51,7 @@ clf = RandomForestClassifier()
 clf.fit(X_train, y_train)
 predictions = clf.predict(X_test)
 
-def predict_survival(sex, age, fare):
+def predict_survival(sex, age, fare,height):
     df = pd.DataFrame.from_dict({'Sex': [sex], 'Age': [age], 'Fare': [fare]})
     df = encode_sex(df)
     df = encode_fares(df)
@@ -64,5 +64,5 @@ age = gr.inputs.Slider(minimum=0, maximum=120, default=22, label="Age")
 fare = gr.inputs.Slider(minimum=0, maximum=200, default=100, label="Fare (british pounds)")
 height = gr.inputs.Slider(minimum=0.1, maximum = 2.10, default=1.75, label="Height")
 
-gr.Interface(predict_survival, [sex, age, fare], "label", live=True, thumbnail="https://raw.githubusercontent.com/gradio-app/hub-titanic/master/thumbnail.png", analytics_enabled=False,
+gr.Interface(predict_survival, [sex, age, fare,height], "label", live=True, thumbnail="https://raw.githubusercontent.com/gradio-app/hub-titanic/master/thumbnail.png", analytics_enabled=False,
     title="Surviving the Titanic", description="Demographics importance on Titanic Survival probabilities:").launch();