Update app.py

app.py

@@ -8,7 +8,8 @@ from collections import Counter
 ner_pipeline = pipeline("ner", model="dslim/bert-base-NER", tokenizer="dslim/bert-base-NER", aggregation_strategy="simple")
 
 # Load text classification model (replace with a job-role classifier if available)
-text_classifier = pipeline("text-classification", model="MoritzLaurer/bert-multilingual-passage-reranking-msmarco")
+text_classifier = pipeline("text-classification", model="khaimait/job-title-classification-bert")
+
 
 def clean_resume_text(text):
     text = re.sub(r'http\S+', ' ', text)