Update app.py

app.py

@@ -29,7 +29,7 @@ def predict_energy(f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13):
 
     output = model.predict(input_feature.reshape(1,1,-1))
     output = output[0][0]
-    return f"Expected energy consumption in the next hour is {output}kWh per LCLid."
+    return output
     # if input_feature is not None:
     #   if f1 == "Decision Trees":
     #     model = dtc.predict(input_feature)
@@ -100,7 +100,7 @@ inputs_app = [gr.Slider(0,12, step=1, label='Month', value=11),
 # Building the Gradio Interface
 weather_predictor_app = gr.Interface(fn=predict_energy, 
                                      inputs=inputs_app, 
-                                      outputs="textbox",
+                                      outputs="number",
                                       # allow_flagging="manual",
                                       # live=True,
                                       # examples = [["Decision Trees", 7,4,2,5,3,2,100,95,76,1010,1008,1004,10,9,4,13,6,0,6,229,1997,1],