Update app.py

app.py

@@ -28,13 +28,11 @@ def titanic(pclass,sex,age,sibsp,parch,embarked,fare_per_customer,embarked_remap
     input_list.append(cabin_remapped)
     # 'res' is a list of predictions returned as the label.
     res = model.predict(np.asarray(input_list).reshape(1, -1))
-    # We add '[0]' to the result of the transformed 'res', because 'res' is a list, and we only want
-    # the first element.
 
 demo = gr.Interface(
     fn=titanic,
     title="Titanic Predictive Analytics",
-    description="Predict survivals.",
+    description="Predict survivals. 0 for dead and 1 for survived. ",
     allow_flagging="never",
     inputs=[
         gr.inputs.Number(default=1.0, label="pclass"),
@@ -44,7 +42,7 @@ demo = gr.Interface(
         gr.inputs.Number(default=1.0, label="parch"),
         gr.inputs.Number(default=1.0, label="embarked(C=1,S=2,Q=3)"),
         gr.inputs.Number(default=1.0, label="fare_per_customer"),
-        gr.inputs.Number(default=1.0, label="cabin_remapped(if the passanger has one cabin =1, else =0)"),
+        gr.inputs.Number(default=1.0, label="cabin(if the passanger has one cabin =1, else =0)"),
 
     ],
     outputs=gr.Image(type="pil"))