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app.py

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+import streamlit as st 
+from transformers import pipeline
+
+generate_summary = pipeline("book-summary-tools", model=" bqpxben/book-summary-tools")
+
+def main():
+    st.title("Book Summarization App")
+
+    # Get user input
+    user_input = st.text_area("Enter the text you want to summarize:", "")
+
+    if st.button("Summarize"):
+        # Perform summarization
+        summary = generate_summary(user_input)
+
+        # Display result
+        st.write("Summary:")
+        st.write(summary)
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+joblib
+pandas
+scikit-learn==1.2.2
+xgboost==1.7.6
+altair<5
+Transformers 4.19.2
+Pytorch 1.11.0+cu113
+Datasets 2.2.2
+Tokenizers 0.12.1