|
|
import os
|
|
|
import platform
|
|
|
import signal
|
|
|
from transformers import AutoTokenizer, AutoModel
|
|
|
import readline
|
|
|
|
|
|
tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True)
|
|
|
model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True, device='cuda')
|
|
|
model = model.eval()
|
|
|
|
|
|
os_name = platform.system()
|
|
|
clear_command = 'cls' if os_name == 'Windows' else 'clear'
|
|
|
stop_stream = False
|
|
|
|
|
|
|
|
|
def build_prompt(history):
|
|
|
prompt = "欢迎使用 ChatGLM-6B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序"
|
|
|
for query, response in history:
|
|
|
prompt += f"\n\n用户：{query}"
|
|
|
prompt += f"\n\nChatGLM-6B：{response}"
|
|
|
return prompt
|
|
|
|
|
|
|
|
|
def signal_handler(signal, frame):
|
|
|
global stop_stream
|
|
|
stop_stream = True
|
|
|
|
|
|
|
|
|
def main():
|
|
|
past_key_values, history = None, []
|
|
|
global stop_stream
|
|
|
print("欢迎使用 ChatGLM2-6B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序")
|
|
|
while True:
|
|
|
query = input("\n用户：")
|
|
|
if query.strip() == "stop":
|
|
|
break
|
|
|
if query.strip() == "clear":
|
|
|
past_key_values, history = None, []
|
|
|
os.system(clear_command)
|
|
|
print("欢迎使用 ChatGLM2-6B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序")
|
|
|
continue
|
|
|
count = 0
|
|
|
for response, history, past_key_values in model.stream_chat(tokenizer, query, history=history,
|
|
|
past_key_values=past_key_values,
|
|
|
return_past_key_values=True):
|
|
|
if stop_stream:
|
|
|
stop_stream = False
|
|
|
break
|
|
|
else:
|
|
|
count += 1
|
|
|
if count % 8 == 0:
|
|
|
os.system(clear_command)
|
|
|
print(build_prompt(history), flush=True)
|
|
|
signal.signal(signal.SIGINT, signal_handler)
|
|
|
os.system(clear_command)
|
|
|
print(build_prompt(history), flush=True)
|
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
main()
|
