Update app.py

app.py

@@ -2,22 +2,15 @@ import streamlit as st
 from transformers import pipeline
 
 # Load the summarization pipeline from Hugging Face
-summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+summarizer = pipeline("summarization", model="Suhaib-27/check")
 
 # Streamlit interface
 st.title("Text Summarization App")
 
-# Text input
-input_text = st.text_area("Enter the text to summarize:", height=200)
+# get the topic
+text = st.text_area("Enter your desired Topic of Blog")
 
-if st.button("Summarize"):
-    if input_text:
-        # Summarize the text
-        summary = summarizer(input_text, max_length=50, min_length=25, do_sample=False)
-        summarized_text = summary[0]['summary_text']
-        
-        # Display the summary
-        st.subheader("Summary")
-        st.write(summarized_text)
-    else:
-        st.error("Please enter some text to summarize.")
+if text:
+    summarizer(text)
+    
+    st.write(zero_output)