update ordering

interfaces/cap_minor.py

@@ -79,7 +79,7 @@ def predict(text, model_id, tokenizer_id):
     output_pred = {f"[{'999' if str(CAP_MIN_NUM_DICT[i]) == '999' else str(CAP_MIN_NUM_DICT[i])[:-2]}]{convert_minor_to_major(CAP_MIN_NUM_DICT[i])} [{CAP_MIN_NUM_DICT[i]}]{CAP_MIN_LABEL_NAMES[CAP_MIN_NUM_DICT[i]]}": probs[i] for i in np.argsort(probs)[::-1]}
 
 
-    output_pred = dict(sorted(output_pred.items(), key=lambda item: item[1]))
+    output_pred = dict(sorted(output_pred.items(), key=lambda item: item[1], reverse=True))
     first_n_items = take(5, output_pred.items())
 
     html = ""