chunzhi/chatgpt_academic
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fix issue #1640

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This commit is contained in:
binary-husky 2024-03-20 18:09:37 +08:00
parent 725c72229c
commit 67ad041372
1 changed files with 7 additions and 5 deletions
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12
request_llms/com_zhipuglm.py
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@ -8,7 +8,7 @@ from toolbox import get_conf, encode_image, get_pictures_list
import logging, os
def input_encode_handler(inputs, llm_kwargs):
def input_encode_handler(inputs:str, llm_kwargs:dict):
if llm_kwargs["most_recent_uploaded"].get("path"):
image_paths = get_pictures_list(llm_kwargs["most_recent_uploaded"]["path"])
md_encode = []
@ -28,7 +28,7 @@ class ZhipuChatInit:
self.zhipu_bro = ZhipuAI(api_key=ZHIPUAI_API_KEY)
self.model = ''
def __conversation_user(self, user_input: str, llm_kwargs):
def __conversation_user(self, user_input: str, llm_kwargs:dict):
if self.model not in ["glm-4v"]:
return {"role": "user", "content": user_input}
else:
@ -41,7 +41,7 @@ class ZhipuChatInit:
what_i_have_asked['content'].append(img_d)
return what_i_have_asked
def __conversation_history(self, history, llm_kwargs):
def __conversation_history(self, history:list, llm_kwargs:dict):
messages = []
conversation_cnt = len(history) // 2
if conversation_cnt:
@ -55,12 +55,14 @@ class ZhipuChatInit:
messages.append(what_gpt_answer)
return messages
def __conversation_message_payload(self, inputs, llm_kwargs, history, system_prompt):
def __conversation_message_payload(self, inputs:str, llm_kwargs:dict, history:list, system_prompt:str):
messages = []
if system_prompt:
messages.append({"role": "system", "content": system_prompt})
self.model = llm_kwargs['llm_model']
messages.extend(self.__conversation_history(history, llm_kwargs)) # 处理 history
if inputs.strip() == "": # 处理空输入导致报错的问题 https://github.com/binary-husky/gpt_academic/issues/1640 提示 {"error":{"code":"1214","message":"messages[1]:content和tool_calls 字段不能同时为空"}
inputs = "." # 空格、换行、空字符串都会报错，所以用最没有意义的一个点代替
messages.append(self.__conversation_user(inputs, llm_kwargs)) # 处理用户对话
response = self.zhipu_bro.chat.completions.create(
model=self.model, messages=messages, stream=True,
@ -70,7 +72,7 @@ class ZhipuChatInit:
)
return response
def generate_chat(self, inputs, llm_kwargs, history, system_prompt):
def generate_chat(self, inputs:str, llm_kwargs:dict, history:list, system_prompt:str):
self.model = llm_kwargs['llm_model']
response = self.__conversation_message_payload(inputs, llm_kwargs, history, system_prompt)
bro_results = ''