Create app.py

app.py

@@ -0,0 +1,20 @@
+import streamlit as st
+from transformers import pipeline
+
+# Initialize summarization pipeline
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+st.title("Text Summarization App")
+st.write("Summarize long articles or texts quickly!")
+
+text = st.text_area("Enter text to summarize:", placeholder="Paste your text here...")
+max_length = st.slider("Select maximum summary length:", 50, 300, 100)
+
+if st.button("Summarize"):
+    if not text.strip():
+        st.error("Please provide some text to summarize.")
+    else:
+        with st.spinner("Generating summary..."):
+            summary = summarizer(text, max_length=max_length, min_length=25, do_sample=False)
+            st.subheader("Summary:")
+            st.write(summary[0]["summary_text"])