Create app.py

app.py

@@ -0,0 +1,28 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the summarization pipeline
+summarizer = pipeline("summarization")
+
+def summarize_text(text):
+    """Summarize the input text using Hugging Face's pipeline."""
+    summary = summarizer(text, max_length=150, min_length=50, do_sample=False)
+    return summary[0]['summary_text']
+
+# Streamlit UI
+st.title("Text Summarization with Hugging Face")
+
+st.write("Enter the text you want to summarize:")
+
+# Text input from the user
+user_input = st.text_area("Input Text", height=200)
+
+if st.button("Summarize"):
+    if user_input:
+        # Generate summary
+        summary = summarize_text(user_input)
+        st.subheader("Summary:")
+        st.write(summary)
+    else:
+        st.error("Please enter some text to summarize.")
+