Update app.py

app.py

@@ -55,11 +55,6 @@ def train_and_forecast(
     except AttributeError:
         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)
-    # try:
-    #     gluon_df = PandasDataset(df, target=df.columns[0])
-    # except TypeError:
     freq = pd.infer_freq(df.index[:3])
     print(freq)
     date_range = pd.date_range(df.index[0], pd.DateOffset(months=prediction_length//2) + df.index[-1], freq=freq)
@@ -68,7 +63,12 @@ def train_and_forecast(
     print(new_df)
     gluon_df = PandasDataset(new_df, target=new_df.columns[0], freq=freq)
     print(gluon_df)
-    
+    row_offset = offset_calculation(prediction_length, rolling_windows, len(df))
+    # prediction_length += int(len(df) * 0.1)
+    # try:
+    #     gluon_df = PandasDataset(df, target=df.columns[0])
+    # except TypeError:
+     
     training_data, test_gen = split(gluon_df, offset=row_offset)
 
     if distribution == "StudentT":