feat: model settings

app.py

@@ -84,7 +84,11 @@ def parse_candidates(candidates):
 
 def predict(s1, language, candidates, use_reranker, topk, steps):
     hashtag_list = [s1]
-    segmentation = model_dict.get(language, "english (fast)").segment(hashtag_list, use_reranker=use_reranker, return_ranks=True, topk=topk, steps=steps)
+    if language:
+        chosen_model = model_dict[language]
+    else:
+        chosen_model = model_dict["english (fast)"]
+    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)