Update app.py

app.py

@@ -14,10 +14,10 @@
 from transformers import pipeline
 
 # Load pre-trained NER model
-ner = pipeline('ner', model='bert-base-cased', tokenizer='bert-base-cased')
+ner = pipeline('ner', model='has-abi/distilBERT-finetuned-resumes-sections', tokenizer='bert-base-cased')
 
 # Define input text
-input_text = "The Mona Lisa is a 16th century portrait painted by Leonardo da Vinci."
+input_text = st.text_area("Enter text: ")
 
 # Call the NER pipeline on the input text
 ner_results = ner(input_text)