Update app.py

app.py

@@ -0,0 +1,34 @@
+import streamlit as st
+from transformers import pipeline
+
+# Title and description
+st.title("Text Summarizer")
+st.markdown("Summarize long paragraphs using the Hugging Face `facebook/bart-large-cnn` model.")
+
+# Load the summarization pipeline
+@st.cache_resource
+def load_summarizer():
+    return pipeline("summarization", model="facebook/bart-large-cnn")
+
+summarizer = load_summarizer()
+
+# Input area for the long text
+user_input = st.text_area("Enter text to summarize:", placeholder="Paste a long paragraph here...", height=200)
+
+# Summarize button
+if st.button("Summarize"):
+    if user_input.strip():
+        with st.spinner("Summarizing text..."):
+            # Perform summarization
+            summary = summarizer(user_input, max_length=130, min_length=30, do_sample=False)
+            summarized_text = summary[0]["summary_text"]
+
+        # Display the summarized text
+        st.markdown("### Summarized Text:")
+        st.write(summarized_text)
+    else:
+        st.warning("Please enter some text to summarize.")
+
+# Footer
+st.markdown("---")
+st.markdown("Powered by [Hugging Face Transformers](https://huggingface.co/transformers/) and Streamlit.")