Update app.py

app.py

@@ -349,7 +349,7 @@ max_len= st.sidebar.slider("Maximum length of the summarized text",min_value=80,
 min_len= st.sidebar.slider("Minimum length of the summarized text",min_value=50,max_value=200,step=10)
 
 st.markdown(
-    "Model Source: [Facebook-Bart-large-CNN](https://huggingface.co/facebook/bart-large-cnn) and [Sshleifer-distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6)"
+    "Model Source: [Facebook-Bart-large-CNN](https://huggingface.co/facebook/bart-large-cnn), [Sshleifer-distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) and [Google-Pegasus-large](https://huggingface.co/google/pegasus-large)"
 )
 
 st.markdown(
@@ -360,7 +360,7 @@ st.markdown(
 st.markdown("""   
     - Facebook-Bart, trained on large [CNN and Daily Mail](https://huggingface.co/datasets/cnn_dailymail) news articles.
     - Sshleifer-Distilbart, which is a distilled (smaller) version of the large Bart model.
-    - Google Pegasus"""
+    - Google Pegasus, trained on large C4 and HugeNews articles"""
 )
 
 st.markdown("""Please do note that the model will take longer to generate summaries for documents that are too long.""")