Update app.py

app.py

@@ -5,7 +5,7 @@ import plotly.graph_objs as go
 from io import BytesIO
 from datasets import load_dataset
 
-df = load_dataset("mmmapms/Forecasts/Predictions.csv")
+df = load_dataset("mmmapms/Forecasts/")
 df['Date'] = pd.to_datetime(df['Date'], dayfirst=True)
 df_filtered = df.dropna(subset=['Real Price'])
 
@@ -31,7 +31,7 @@ df_filtered = df.dropna(subset=['Real Price'])
 #    df_filtered = df.dropna(subset=['Real Price'])
 #    return df, df_filtered
 
-df, df_filtered = load_data_predictions()
+#df, df_filtered = load_data_predictions()
 
 min_date_allowed_pred = df_filtered['Date'].min().date()
 max_date_allowed_pred = df_filtered['Date'].max().date()