bug fix

app.py

@@ -38,7 +38,7 @@ def raw_preds_to_df(raw,quantiles = None):
     preds_df['pred_idx'] = preds_df['time_idx'] + preds_df['h'] - 1
     return preds_df
 
-@st.cache_data
+#@st.cache_data
 def prepare_dataset(_parameters, df, rain, temperature, datepicker, mapping):
     if rain != "Default":
         df["MTXWTH_Day_precip"] = mapping[rain]
@@ -54,13 +54,13 @@ def prepare_dataset(_parameters, df, rain, temperature, datepicker, mapping):
     df = TimeSeriesDataSet.from_parameters(_parameters, df)
     return df.to_dataloader(train=False, batch_size=256,num_workers = 0)
 
-@st.cache_data
+#@st.cache_data
 def predict(_model, _dataloader, datepicker):
     out = _model.predict(_dataloader, mode="raw", return_x=True, return_index=True)
     preds = raw_preds_to_df(out, quantiles = None)
     return preds[["pred_idx", "Group", "pred"]]
 
-@st.cache_data
+#@st.cache_data
 def adjust_data_for_plot(df, preds):
     df = pd.merge(df, preds, left_on=["time_idx", "Group"], right_on=["pred_idx", "Group"], how = "left")
     df = df[~df["pred"].isna()]