Update app.py

app.py

@@ -57,14 +57,14 @@ def train_and_forecast(
 
     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])
-        date_range = pd.date_range(df.index[0], pd.DateOffset(months=prediction_length//2) + df.index[-1], freq=freq)
-        new_df = df.reindex(date_range)
-        print(new_df)
-        gluon_df = PandasDataset(new_df, target=new_df.columns[0], freq=freq)
+    # try:
+    #     gluon_df = PandasDataset(df, target=df.columns[0])
+    # except TypeError:
+    freq = pd.infer_freq(df.index[:3])
+    date_range = pd.date_range(df.index[0], pd.DateOffset(months=prediction_length//2) + df.index[-1], freq=freq)
+    new_df = df.reindex(date_range)
+    print(new_df)
+    gluon_df = PandasDataset(new_df, target=new_df.columns[0], freq=freq)
 
     training_data, test_gen = split(gluon_df, offset=row_offset)