Create app.py

app.py

@@ -0,0 +1,24 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load summarizer model
+@st.cache_resource
+def load_summarizer():
+    return pipeline("summarization", model="facebook/bart-large-cnn")
+
+summarizer = load_summarizer()
+
+# Streamlit UI
+st.title("📚 Text Summarizer App")
+st.markdown("Enter or paste long text below. The app will summarize it for you.")
+
+input_text = st.text_area("Enter text to summarize", height=300)
+
+if st.button("Summarize"):
+    if input_text:
+        with st.spinner("Summarizing..."):
+            summary = summarizer(input_text, max_length=150, min_length=40, do_sample=False)
+            st.subheader("Summary:")
+            st.success(summary[0]['summary_text'])
+    else:
+        st.warning("Please enter some text.")