Update app.py

app.py

@@ -2,12 +2,6 @@ import torch
 import streamlit as st
 from transformers import pipeline, AutoTokenizer,AutoModelForTokenClassification
 
-tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-japanese-upos")
-model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-japanese-upos")
-s="国境の長いトンネルを抜けると雪国であった。"
-p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,return_tensors="pt"))["logits"],dim=2)[0].tolist()[1:-1]]
-print(list(zip(s,p)))
-
 classifier = pipeline("token-classification", model="KoichiYasuoka/bert-base-japanese-upos")
 def main():
     st.title("POS-tagging for Japanese texts")
@@ -21,7 +15,6 @@ def main():
         if clicked:
           results = classifier([text])
           st.json(results)
-          st.success(p)
 
 if __name__ == "__main__":
     main()