Create app.py

app.py

@@ -0,0 +1,26 @@
+# app.py
+import streamlit as st
+from transformers import pipeline
+
+# Load the summarization pipeline with the specified model
+pipe = pipeline("summarization", model="Yihui/t5-small-text-summary-generation")
+
+# Set the title of the app
+st.title("Summary Generator")
+st.markdown("<p style='color:blue; font-size:20px;'>Developed by Usman</p>", unsafe_allow_html=True)
+st.markdown("<p style='color:red; font-size:15px;'>Based on Hugging Face Model</p>", unsafe_allow_html=True)
+
+# Create a text area for user input
+input_text = st.text_area("Enter the text you want to get summarize:", height=200)
+
+# Create a button to trigger the summarization
+if st.button("Summarize"):
+    if input_text:
+        # Generate the summary
+        summary = pipe(input_text, max_length=150, min_length=30, do_sample=False)
+        
+        # Display the summarized text
+        st.subheader("Summary:")
+        st.write(summary[0]['summary_text'])
+    else:
+        st.error("Please enter some text to summarize.")