jiawenchim
commited on
Commit
•
d3ee645
1
Parent(s):
b80a3ba
Update app.py
Browse files
app.py
CHANGED
@@ -55,7 +55,7 @@ weather_predictor_app = gr.Interface(fn=predict_energy,
|
|
55 |
examples = [[2,23,3.93,0.85,2.75,0,0.428821,0.507056,0.658782,0.722878,0.694360,0.657011,0.587121],
|
56 |
[8,15,23.34,0.45,5.32,0,0.341136,0.337360,0.332931,0.336212,0.338439,0.327198,0.316899],
|
57 |
[12,8,2.10,0.96,1.34,0.0,0.327180,0.278838,0.253315,0.247601,0.262393,0.326879,0.458636]],
|
58 |
-
title = "Energy Consumption Prediction using Custom LSTM (London)",
|
59 |
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).")
|
60 |
|
61 |
|
|
|
55 |
examples = [[2,23,3.93,0.85,2.75,0,0.428821,0.507056,0.658782,0.722878,0.694360,0.657011,0.587121],
|
56 |
[8,15,23.34,0.45,5.32,0,0.341136,0.337360,0.332931,0.336212,0.338439,0.327198,0.316899],
|
57 |
[12,8,2.10,0.96,1.34,0.0,0.327180,0.278838,0.253315,0.247601,0.262393,0.326879,0.458636]],
|
58 |
+
title = "Average Energy Consumption (per household) Prediction using Custom LSTM (London)",
|
59 |
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).")
|
60 |
|
61 |
|