Update app.py

app.py

@@ -26,7 +26,8 @@ tokenizer = AutoTokenizer.from_pretrained("TAgroup5/news-classification-model")
 
 # Initialize pipelines
 text_classification_pipeline = pipeline("text-classification", model=model, tokenizer=tokenizer)
-qa_pipeline = pipeline("question-answering", model=model, tokenizer=tokenizer)
+qa_model_name = "distilbert-base-uncased-distilled-squad"  # Example of a common Q&A model
+qa_pipeline = pipeline("question-answering", model=qa_model_name, tokenizer=qa_model_name)
 
 # Streamlit App
 st.title("News Classification and Q&A")