feat: model settings

app.py

@@ -88,6 +88,10 @@ def predict(s1, language, candidates, use_reranker, topk, steps):
         chosen_model = model_dict[language]
     else:
         chosen_model = model_dict["english (fast)"]
+
+    if not all([topk, steps]):
+        return None, None
+
     segmentation = chosen_model.segment(hashtag_list, use_reranker=use_reranker, return_ranks=True, topk=topk, steps=steps)
     segmenter_df = format_dataframe(segmentation.segmenter_rank)
     reranker_df = format_dataframe(segmentation.reranker_rank)