Update app.py

app.py

@@ -78,17 +78,17 @@ def bulk_function(filename):
   temp = (np.exp(predictions[0])/np.exp(predictions[0]).sum(-1,keepdims=True))
 
   # container
-  high = []
   low = []
+  high = []
 
   # extract scores (as many entries as exist in pred_texts)
   for i in range(len(lines_s)):
-    high.append(round(temp[i][0], 3))
-    low.append(round(temp[i][1], 3))
+    low.append(round(temp[i][0], 3))
+    high.append(round(temp[i][1], 3))
 
 
   # define df
-  df = pd.DataFrame(list(zip(ids,lines_s,labels,scores_rounded, high, low)), columns=[df_input.columns[0], df_input.columns[1],'max_label','max_score', 'high', 'low'])
+  df = pd.DataFrame(list(zip(ids,lines_s,labels,scores_rounded, low, high)), columns=[df_input.columns[0], df_input.columns[1],'max_label','max_score', 'low', 'high'])
   print(df)
   # save results to csv
   YOUR_FILENAME = filename.name.split(".")[0] + "_MindMiner_Predictions" + ".csv"  # name your output file