sbfgbs

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Force PyTorch backend
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn", framework="pt")
+
+st.title("Text Summarization App")
+
+# Input text
+text = st.text_area("Enter your text:", "")
+
+if st.button("Summarize"):
+    if text:
+        summary = summarizer(text, max_length=50, min_length=10, do_sample=False)
+        st.subheader("Summary:")
+        st.write(summary[0]["summary_text"])
+    else:
+        st.warning("Please enter some text.")