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energetic_forecaster_london

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jiawenchim commited on Feb 25

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d3ee645

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1 Parent(s): b80a3ba

Update app.py

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app.py CHANGED Viewed

@@ -55,7 +55,7 @@ weather_predictor_app = gr.Interface(fn=predict_energy,
                                       examples = [[2,23,3.93,0.85,2.75,0,0.428821,0.507056,0.658782,0.722878,0.694360,0.657011,0.587121],
                                                   [8,15,23.34,0.45,5.32,0,0.341136,0.337360,0.332931,0.336212,0.338439,0.327198,0.316899],
                                                   [12,8,2.10,0.96,1.34,0.0,0.327180,0.278838,0.253315,0.247601,0.262393,0.326879,0.458636]],
-                                     title = "Energy Consumption Prediction using Custom LSTM (London)",
                                      description="Enter parameters using sliders provided to predict the next hour's energy consumption. \n Answer for demo's data are available under Files -> samples.csv -> var1(t).")

                                       examples = [[2,23,3.93,0.85,2.75,0,0.428821,0.507056,0.658782,0.722878,0.694360,0.657011,0.587121],
                                                   [8,15,23.34,0.45,5.32,0,0.341136,0.337360,0.332931,0.336212,0.338439,0.327198,0.316899],
                                                   [12,8,2.10,0.96,1.34,0.0,0.327180,0.278838,0.253315,0.247601,0.262393,0.326879,0.458636]],
+                                     title = "Average Energy Consumption (per household) Prediction using Custom LSTM (London)",
                                      description="Enter parameters using sliders provided to predict the next hour's energy consumption. \n Answer for demo's data are available under Files -> samples.csv -> var1(t).")