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app.py

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+import streamlit as st
+from transformers import pipeline
+
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def main():
+    st.title("Text Summarizer App")
+
+    
+    input_text = st.text_area("Enter the text you want to summarize:")
+
+    # Sidebar 
+    min_length = st.sidebar.slider("Minimum Summary Length", 10, 200, 50)
+    max_length = st.sidebar.slider("Maximum Summary Length", 50, 500, 100)
+
+    if st.button("Generate Summary"):
+        if input_text:
+            # Generate summary
+            summary = summarizer(input_text, max_length=max_length, min_length=min_length, do_sample=False)
+            st.subheader("Generated Summary:")
+            st.write(summary[0]["summary_text"])
+        else:
+            st.warning("Please enter some text to summarize.")
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+streamlit==1.20.0
+transformers==4.36.2