Update app.py

app.py

@@ -56,20 +56,20 @@ def train_and_forecast(
     except AttributeError:
         raise gr.Error("Upload a file with the Upload button")
 
-    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)
-    print(date_range)
-    new_df = df.reindex(date_range)
-    new_df = new_df.interpolate(method='spline', order=2)
-    # trying this hack to fix pandas beginMonth stuff
-    buffer = io.BytesIO()
-    new_df.to_csv(buffer, index=False)
-    buffer.seek(0)
-    df = pd.read_csv(buffer)
-    df.sort_index(inplace=True)
-    print(new_df)
-    gluon_df = PandasDataset(df, target=df.columns[0], freq=freq)
+    # 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)
+    # print(date_range)
+    # new_df = df.reindex(date_range)
+    # new_df = new_df.interpolate(method='spline', order=2)
+    # # trying this hack to fix pandas beginMonth stuff
+    # buffer = io.BytesIO()
+    # new_df.to_csv(buffer, index=False)
+    # buffer.seek(0)
+    # df = pd.read_csv(buffer)
+    # df.sort_index(inplace=True)
+    print(df)
+    gluon_df = PandasDataset(df, target=df.columns[0])
     print(gluon_df)
     row_offset = offset_calculation(prediction_length, rolling_windows, len(df))
     # prediction_length += int(len(df) * 0.1)