Version 1 hotfix #28 for merge

app.py

@@ -195,17 +195,17 @@ def merge_forecast_data(actual, predicted, future):
     return merged_dataframe
 
 @st.cache_data
-def interpret_mape(mape):
-  mape = mape * 100
-  if mape < 10:
+def interpret_mape(mape_score):
+  score = mape_score * 100
+  if score < 10:
     interpretation = "Highly Accurate"
-  elif mape < 20:
+  elif score < 20:
     interpretation = "Good Accuracy"
-  elif mape < 50:
+  elif score < 50:
     interpretation = "Reasonable Accuracy"
   else:
     interpretation = "Inaccurate"
-  return mape, interpretation
+  return score, interpretation
 
 # TAPAS Model
 
@@ -358,7 +358,7 @@ if (st.session_state.uploaded):
 
     test_y, predictions = np.array(test_y), np.array(fitted)
     score = forecast_accuracy(predictions, test_y)
-    mape, interpretation = interpret_mape(score)
+    mape, interpretation = interpret_mape(score['mape'])
 
     col = st.columns(2)
     with col[0]: