Update app.py

app.py

@@ -24,14 +24,16 @@ def predict(input, history=[]):
                             pad_token_id=tokenizer.eos_token_id,
                             #no_repeat_ngram_size=3,
                             #do_sample=True,
-                            #top_k=100,
-                            #top_p=0.7,
                             #temperature = 0.8
+                            top_p=0.92,
+                            top_k = 50
                             ).tolist()
 
     # convert the tokens to text, and then split the responses into the right format
     response = tokenizer.decode(history[0]).split("<|endoftext|>")
     response = [(response[i], response[i+1]) for i in range(0, len(response)-1, 2)]  # convert to tuples of list
+    print(response)
+    print(history)
     return response, history
 
 gr.Interface(fn=predict,