Update app.py

app.py

@@ -16,12 +16,13 @@ def predict(input, history=[]):
     
     # generate a response 
     history = model.generate(bot_input_ids,
-                            max_length=500,
+                            max_length=1000,
                             pad_token_id=tokenizer.eos_token_id,
                             no_repeat_ngram_size=3,
+                            num_beams = 3,
                             do_sample=True,
-                            top_k=100,
-                            top_p=0.7,
+                            top_k=20,
+                            top_p=0.8,
                             temperature=0.8).tolist()
 
     # convert the tokens to text, and then split the responses into the right format