fix typo

interfaces/cap_minor.py

@@ -75,7 +75,7 @@ def predict(text, model_id, tokenizer_id):
     output_pred_minor = {f"[{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_major = convert_minor_to_major(np.argsort(probs)[::-1])
     output_info = f'<p style="text-align: center; display: block">Prediction was made using the <a href="https://huggingface.co/{model_id}">{model_id}</a> model.</p>'
-    return output_pred_minor, output_pred_major output_info
+    return output_pred_minor, output_pred_major, output_info
 
 def predict_cap(text, language, domain):
     domain = domains[domain]