Update app.py

app.py

@@ -19,7 +19,7 @@ def offset_calculation(prediction_length, rolling_windows, length):
     row_offset = -1 * prediction_length * rolling_windows
     if abs(row_offset) > 0.95 * length:
         raise gr.Error("Reduce prediction_length * rolling_windows")
-    return row_offset
+    return row_offset/2
 
 
 def preprocess(
@@ -56,7 +56,7 @@ def train_and_forecast(
         raise gr.Error("Upload a file with the Upload button")
 
     row_offset = offset_calculation(prediction_length, rolling_windows, len(df))
-    prediction_length += int(len(df) * 0.1)
+    # prediction_length += int(len(df) * 0.1)
     try:
         gluon_df = PandasDataset(df, target=df.columns[0])
     except TypeError: