Update app.py

app.py

@@ -25,64 +25,17 @@ scheduler = CommitScheduler(
     every=2
 )
 
-# # Load the saved model
-# #insurance_charge_predictor = joblib.load('model.joblib')
-
-# # Define the input features
-
-# #numeric_features = ['age', 'bmi', 'children']
-# #categorical_features = ['sex', 'smoker', 'region']
-
-# age_input = gr.Number(label="Age")
-# bmi_input = gr.Number(label="BMI")
-# children_input = gr.Number(label="Children")
-
-# # sex: ['female' 'male']
-# # smoker: ['yes' 'no']
-# # region: ['southwest' 'southeast' 'northwest' 'northeast']
-
-# sex_input = gr.Dropdown(['female','male'],label='Sex')
-# smoker_input = gr.Dropdown(['yes','no'],label='Smoker')
-# region_input = gr.Dropdown(['southwest', 'southeast', 'northwest', 'northeast'],label='Region')
-
-# model_output = gr.Label(label="charges")
-
-# Define the predict function which will take features, convert to dataframe and make predictions using the saved model
-# the functions runs when 'Submit' is clicked or when a API request is made
-
-def dprocess(age, bmi, children, sex, smoker, region):
-    
-    #Index(['age', 'sex', 'bmi', 'children', 'smoker', 'region'], dtype='object')
-
-    # sample = {
-    #     'age': age,
-    #     'sex': sex,
-    #     'bmi': bmi,
-    #     'children': children,
-    #     'smoker': smoker,
-    #     'region': region
-    # }
-
-    # data_point = pd.DataFrame([sample])
-    
-    # prediction = insurance_charge_predictor.predict(data_point).tolist()
+def dprocess(command):
 
     with scheduler.lock:
         with log_file.open("a") as f:
             f.write(json.dumps(
                 {
-                    'age': age,
-                    'sex': sex,
-                    'bmi': bmi,
-                    'children': children,
-                    'smoker': smoker,
-                    'region': region,
-                    'prediction': prediction[0]
+                    'result': 42
                 }
             ))
             f.write("\n")
 
-    #return prediction[0]
     return 42
 
 # Set-up the Gradio UI
@@ -101,4 +54,4 @@ demo = gr.Interface(fn=dprocess,
                     theme=gr.themes.Soft())
 
 demo.queue()
-demo.launch()
+demo.launch()