Create text-summarizer

text-summarizer

@@ -0,0 +1,24 @@
+import streamlit as st
+from transformers import pipeline
+
+# Title
+st.title("📝 Text Summarizer")
+st.write("Paste your text below and get a short summary!")
+
+# Text input
+user_input = st.text_area("Enter text here:", height=200)
+
+# Load summarization pipeline
+@st.cache_resource
+def load_model():
+    return pipeline("summarization", model="facebook/bart-large-cnn")
+
+summarizer = load_model()
+
+# Summarize button
+if st.button("Summarize"):
+    if user_input.strip() == "":
+        st.warning("Please enter some text first!")
+    else:
+        summary = summarizer(user_input, max_length=100, min_length=25, do_sample=False)
+        st.success(summary[0]['summary_text'])