Update app.py

app.py

@@ -8,7 +8,7 @@ pegasus_tokenizer = PegasusTokenizer.from_pretrained(model_name)
 def summarize(input_text):
   nwords=len(input_text.split(" "))
   # Define summarization pipeline 
-  summarizer = pipeline("summarization", model=model_name, tokenizer=pegasus_tokenizer,min_length=int(nwords/10)+20, max_length=int(nwords/5+10), framework="pt")
+  summarizer = pipeline("summarization", model=model_name, tokenizer=pegasus_tokenizer,min_length=int(nwords/10)+10, max_length=int(nwords/5+10), framework="pt")
   summary=summarizer(input_text)[0]['summary_text']
   return(summary)
 gr.Interface(fn=summarize,inputs=gr.inputs.Textbox(placeholder="Paste the text to be summarized here..."),outputs="textbox").launch();