created an app

app.py

@@ -1,4 +1,25 @@
 import streamlit as st
+from transformers import pipeline
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+# Initialize the summarizer pipeline
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_text(text):
+    summary = summarizer(text, max_length=150, min_length=50, do_sample=False)
+    return summary[0]['summary_text']
+
+# Streamlit app layout
+st.title("Text Summarizer")
+st.write("This app uses Hugging Face's transformers to summarize any text you provide.")
+
+# User input
+input_text = st.text_area("Enter Text to Summarize", height=200)
+
+if st.button("Summarize"):
+    if input_text:
+        with st.spinner("Summarizing..."):
+            summary = summarize_text(input_text)
+            st.subheader("Summary:")
+            st.write(summary)
+    else:
+        st.warning("Please enter some text to summarize.")