Update app.py

app.py

@@ -226,10 +226,15 @@ def st_transfer_learning():
                         df_forecast.loc[df_forecast["unique_id"] == uid, col] - changes
                     )
         with col2:
+            if uploaded_file is not None:
+                fct_name = value_col 
+            else:
+                fct_name=uid
             st.plotly_chart(
                 plot(
                     df.query("unique_id == @uid"),
-                    uid,
+                    # uid,
+                    fct_name,
                     df_forecast.query("unique_id == @uid"),
                     model_name,
                 ),