Update app.py

app.py

@@ -35,10 +35,10 @@ def answer(history, sample=True, top_p=1, temperature=0.7):
     preprocess_history = []
 
     for i in range(len(history)):
-        preprocess_history.append(preprocess(text))
+        preprocess_history.append(preprocess(history[i]))
     
     #text = preprocess(text)
-    #print('用户: '+text)
+    print('用户: '+preprocess_history[-1])
     encoding = tokenizer(text=preprocess_history, truncation=True, padding=True, max_length=768, return_tensors="pt").to(device) 
     if not sample:
         out = model.generate(**encoding, return_dict_in_generate=True, output_scores=False, max_new_tokens=512, num_beams=1, length_penalty=0.6)