Update app.py

app.py

@@ -2,23 +2,26 @@ import streamlit as st
 from transformers import pipeline
 
 # 🧠 Set up the page
-st.set_page_config(page_title="Smart Summarizer", layout="wide")
+st.set_page_config(page_title="Text Summarizer", layout="wide")
 
 # 🔄 Load summarizer model
 @st.cache_resource
+#def load_model():
+    #return pipeline(
+        #"summarization",
+        #model="knkarthick/MEETING_SUMMARY",
+        #tokenizer="knkarthick/MEETING_SUMMARY",
+        #truncation=True
+    #)
+
 def load_model():
-    return pipeline(
-        "summarization",
-        model="knkarthick/MEETING_SUMMARY",
-        tokenizer="knkarthick/MEETING_SUMMARY",
-        truncation=True
-    )
+    return pipeline("summarization", model="facebook/bart-large-cnn")
 
 summarizer = load_model()
 
 # 🎨 Title and Subtitle
 st.markdown("<h1 style='text-align: center;'>LLM- Powered Text Summarizer</h1>", unsafe_allow_html=True)
-st.markdown("<p style='text-align: center; color: gray;'>This app summarizes large texts efficiently using a lightweight model suited for Hugging Face CPU Spaces.</p>", unsafe_allow_html=True)
+#st.markdown("<p style='text-align: center; color: gray;'>This app summarizes large texts efficiently using a lightweight model suited for Hugging Face CPU Spaces.</p>", unsafe_allow_html=True)
 
 # 🔲 Two-column layout
 col1, col2 = st.columns(2)
@@ -50,7 +53,7 @@ if st.button("🔍 Summarize Now"):
                 result = output[0]['summary_text']
                 summary_output.text_area("Summary Result", value=result, height=400, label_visibility="collapsed")
             except Exception as e:
-                st.error(f"⚠️ Error generating summary: {e}")
+                st.error(f"Error generating summary: {e}")
 
 # 👣 Footer
 #st.markdown("""