initial.commit

app.py

@@ -2,14 +2,22 @@ import gradio as gr
 from gradio import inputs
 from gradio.mix import Parallel
 
-description = 'Comparing dialogue summarization models'
+description = 'Dialogue summarization models'
+title = 'Comparing different dialogue summarization models'
+example = [['''Aakash: Do you watched last night match?
+Vikas: No, I was busy. What happended?
+Aakash: Barcelona won their game against Sevilla 1-0. Pedri scored an sensational goal.
+Vikas: Oh really!!! I have to watch the highlights at home.
+Aakash: Yes, I am so excited for the new upcoming season. Xavi really doing wonders.
+Vikas: Exactly!! Xavi has changed the way Barcelona play. The good days are coming back. ''']]
 
 io1 = gr.Interface.load("huggingface/anegi/t5smallmodel",                        
                         title='Dialogue Summarization using t5-small model',
                         inputs = [
                             gr.inputs.Textbox(lines = 7, label = 'Text', placeholder = 'Enter your text here: ')  
                         ],
-                        description='This is a self trained model',
+                        description='This is a self-trained model',
+                        example = example
                         )
                         
 io2 = gr.Interface.load("huggingface/philschmid/bart-large-cnn-samsum",