Update app.py

app.py

@@ -12,9 +12,8 @@ normalizer = hazm.Normalizer()
 sent_tokenizer = hazm.SentenceTokenizer()
 word_tokenizer = hazm.WordTokenizer()
 
-tagger = hazm.POSTagger(
-            model=str("gyroing/HAZM_POS_TAGGER/pos_tagger.model")
-        )
+tagger_path = hf_hub_download(repo_id="gyroing/HAZM_POS_TAGGER", filename="pos_tagger.model")
+tagger = hazm.POSTagger(model=tagger_path)
 
 def preprocess_text(text: str) -> typing.List[typing.List[str]]:
         """Split/normalize text into sentences/words with hazm"""
@@ -25,9 +24,7 @@ def preprocess_text(text: str) -> typing.List[typing.List[str]]:
             words = word_tokenizer.tokenize(sentence)
             processed_words = fix_words(words)
             processed_sentences.append(" ".join(processed_words))
-
-        return  " ".join(processed_sentences)
-    
+        return  " ".join(processed_sentences)    
 def fix_words(words: typing.List[str]) -> typing.List[str]:
         fixed_words = []