Fix app graphs

app.py

@@ -347,18 +347,23 @@ if (st.session_state.uploaded):
     
 
     col_charts = st.columns(2)
+    min_date = merged_data[merged_data.columns[0]].min()
+    max_date = merged_data[merged_data.columns[0]].max()
     with col_charts[0]:
       fig_compare = go.Figure()
       fig_compare.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Actual Sales'], mode='lines', name='Actual Sales'))
       fig_compare.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Predicted Sales'], mode='lines', name='Predicted Sales'))
       fig_compare.update_layout(title='Historical Sales Data', xaxis_title='Date', yaxis_title='Sales')
       fig_compare.update_xaxes(range=['2020-01-01', '2025-01-01']) # TODO: Change this to be adaptive
+      fig_compare.update_xaxes(range=[min_date, max_date])
       st.plotly_chart(fig_compare, use_container_width=True)
+
     with col_charts[1]:
       fig_forecast = go.Figure()
-      fig_compare.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Forecasted Future Sales'], mode='lines', name='Forecasted Future Sales'))
-      fig_compare.update_layout(title='Forecasted Sales Data', xaxis_title='Date', yaxis_title='Sales')
-      # fig_compare.update_xaxes(range=['2020-01-01', '2025-01-01']) # TODO: Change this to be adaptive
+      fig_forecast.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Actual Sales'], mode='lines', name='Actual Sales'))
+      fig_forecast.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Forecasted Future Sales'], mode='lines', name='Forecasted Future Sales'))
+      fig_forecast.update_layout(title='Forecasted Sales Data', xaxis_title='Date', yaxis_title='Sales')
+      fig_forecast.update_xaxes(range=[min_date, max_date])
       st.plotly_chart(fig_compare, use_container_width=True)
       st.write(f"MAPE score: {mape}% - {interpretation}")
 
@@ -366,6 +371,7 @@ if (st.session_state.uploaded):
     with col_table[0]:
       col_table[0].subheader(f"Forecasted sales in the next {period} days")
       col_table[0].write(df)
+
     with col_table[1]:
       col_table[1] = st.subheader("Question-Answering")
       with st.form("question_form"):