Fix default history argument

modeling_chatglm.py

@@ -1077,8 +1077,10 @@ class ChatGLMForConditionalGeneration(ChatGLMPreTrainedModel):
         )
 
     @torch.no_grad()
-    def chat(self, tokenizer, query: str, history: List[Tuple[str, str]] = [], max_length: int = 2048, num_beams=1,
+    def chat(self, tokenizer, query: str, history: List[Tuple[str, str]] = None, max_length: int = 2048, num_beams=1,
              do_sample=True, top_p=0.7, temperature=0.95, **kwargs):
+        if history is None:
+            history = []
         gen_kwargs = {"max_length": max_length, "num_beams": num_beams, "do_sample": do_sample, "top_p": top_p,
                       "temperature": temperature, **kwargs}
         if not history:
@@ -1095,7 +1097,7 @@ class ChatGLMForConditionalGeneration(ChatGLMPreTrainedModel):
         response = tokenizer.decode(outputs)
         response = response.strip()
         response = response.replace("[[训练时间]]", "2023年")
-        history.append((query, response))
+        history = history + [(query, response)]
         return response, history
 
     @torch.no_grad()