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main.py

@@ -3,17 +3,13 @@ from functions import extract_text_from_pdf, get_most_similar_job
 from fastapi import  UploadFile, HTTPException, FastAPI
 import pandas as pd
 from sklearn.feature_extraction.text import TfidfVectorizer
+from transformers import pipeline
 
 
-summarizer = ""
-def define_summarizer():
-    from transformers import pipeline
-    global summarizer
-    summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
-    print("\n\n definition Done")
-define = threading.Thread(target=define_summarizer)
-define.start()
-print("111111111111")
+
+
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+print("\n\n definition 2")
 def fit_threads(text):
     define.join()