Create app.py

app.py

@@ -0,0 +1,26 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load summarization pipeline
+@st.cache_resource
+def load_summarizer():
+    return pipeline("summarization", model="facebook/bart-large-cnn")
+
+summarizer = load_summarizer()
+
+# Streamlit UI
+st.set_page_config(page_title="Text Summarizer", page_icon="📝", layout="centered")
+st.title("📝 Text Summarizer")
+
+# Input text
+text = st.text_area("Enter the text you want to summarize:", height=250)
+
+# Summary button
+if st.button("Summarize"):
+    if text.strip():
+        with st.spinner("Generating summary..."):
+            summary = summarizer(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 to summarize.")