Update app.py

app.py

@@ -8,8 +8,8 @@ model = BartForConditionalGeneration.from_pretrained(model_name)
 
 def summarize(inp):
     inp = inp.replace('\n','')
-    inp = tokenizer.encode(inp, return_tensors='pt', max_length=1024)
-    summary_ids = model.generate(inp, num_beams=4, max_length=220, early_stopping=True)
+    inp = tokenizer.encode(inp, return_tensors='pt', max_length=1048)
+    summary_ids = model.generate(inp, num_beams=4, max_length=500, early_stopping=True)
     summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
     return summary