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ChatGLM-6B/cli_demo.py

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import os
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
model = model.eval()
history = []
while True:
query = input("请输入提示clear清空对话历史stop终止程序\n")
if query == "stop":
break
if query == "clear":
history = []
os.system('clear')
continue
print("回复:")
response, history = model.chat(tokenizer, query, history=history)
print(response)