nltk update

app.py

@@ -2,7 +2,9 @@ from fastapi import FastAPI
 from pydantic import BaseModel
 from fastapi.responses import JSONResponse
 from transformers import AutoTokenizer,AutoModelForSeq2SeqLM
+import nltk
 from nltk.tokenize import sent_tokenize
+nltk.download('punkt_tab')
 import torch
 
 app = FastAPI()
@@ -10,6 +12,7 @@ app = FastAPI()
 class Sentence(BaseModel):
     sentence: str
 
+
 # model_name = 'Vamsi/T5_Paraphrase_Paws'
 model_name = 'google/flan-t5-large'
 tokenizer = AutoTokenizer.from_pretrained(model_name,clean_up_tokenization_spaces=True)
@@ -46,5 +49,6 @@ def rephrase(sentence: Sentence):
     try:
         rephrase_text = " ".join([my_rephrase(sent) for sent in sent_tokenize(sentence.sentence) ])
         return JSONResponse(status_code=200, content={"rephrased_sentence": rephrase_text})
-    except:
+    except Exception as e:
+        print(e)
         return JSONResponse(status_code=422,content="Unable to rephrase")