mirror of https://github.com/THUDM/ChatGLM-6B
66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
import os
|
||
from transformers import AutoTokenizer, AutoModel
|
||
import signal
|
||
import platform
|
||
from stream_utils import ChatGLMStreamDecoder
|
||
|
||
|
||
tokenizer = AutoTokenizer.from_pretrained(
|
||
"THUDM/chatglm-6b", trust_remote_code=True)
|
||
stream_decoder = ChatGLMStreamDecoder(tokenizer.sp_tokenizer.text_tokenizer.sp)
|
||
model = AutoModel.from_pretrained(
|
||
"THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
|
||
model = model.eval()
|
||
|
||
os_name = platform.system()
|
||
clear_command = 'cls' if os_name == 'Windows' else 'clear'
|
||
stop_stream = False
|
||
|
||
|
||
def signal_handler(signal, frame):
|
||
global stop_stream
|
||
stop_stream = True
|
||
|
||
|
||
def main():
|
||
history = []
|
||
global stop_stream
|
||
print("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")
|
||
while True:
|
||
query = input("\n用户：")
|
||
if query.strip() == "stop":
|
||
break
|
||
if query.strip() == "clear":
|
||
history = []
|
||
stream_decoder.end()
|
||
stream_decoder.get()
|
||
os.system(clear_command)
|
||
print("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")
|
||
continue
|
||
gen_kwargs = {"max_length": 2048, "do_sample": True, "top_p": 0.7,
|
||
"temperature": 0.95, "logits_processor": None}
|
||
if not history:
|
||
prompt = query
|
||
else:
|
||
prompt = "".join([f"[Round {i}]\n问：{q}\n答：{r}\n" for i, (q, r) in enumerate(
|
||
history)] + [f"[Round {len(history)}]\n问：{query}\n答："])
|
||
inputs = tokenizer([prompt], return_tensors="pt").to(model.device)
|
||
print("\nChatGLM-6B：", end="")
|
||
response = []
|
||
for outputs in model.stream_generate(**inputs, **gen_kwargs):
|
||
stream_decoder.put([int(outputs[0][-1])])
|
||
new_resp = stream_decoder.get().replace("<n>", "\n")
|
||
response.append(new_resp)
|
||
print(new_resp, end="")
|
||
# end of line
|
||
stream_decoder.end()
|
||
new_resp = stream_decoder.get().replace("<n>", "\n")
|
||
response.append(new_resp)
|
||
print(new_resp)
|
||
response = "".join(response)
|
||
history.append((query, response))
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|