version 1.1 hotfix

app.py

@@ -276,7 +276,7 @@ if not st.session_state.uploaded:
 # Sidebar Menu
 with st.sidebar:
     # TODO Name for product
-    st.title("MLCast v1.0")
+    st.title("MLCast v1.1")
     st.subheader("An intelligent sales forecasting system")
     uploaded_file = st.file_uploader("Upload your store data here to proceed (must atleast contain Date and Sales)", type=["csv"])
     if uploaded_file is not None:
@@ -356,6 +356,7 @@ if (st.session_state.uploaded):
     score = forecast_accuracy(predictions, test_y)
     mape, interpretation, mape_color = interpret_mape(score['mape'])
     
+    df = df.rename(columns={df.columns[0]: 'Date'})
     df = df.set_index('Date')
     merged_data = merge_forecast_data(df['Sales'], fitted_series, future_fitted_series)