wehub-resource-sync
58 lines
2.0 KiB
Python
58 lines
2.0 KiB
Python
import os
|
||
import platform
|
||
from transformers import AutoTokenizer, AutoModel
|
||
|
||
MODEL_PATH = os.environ.get('MODEL_PATH', 'THUDM/chatglm3-6b')
|
||
TOKENIZER_PATH = os.environ.get("TOKENIZER_PATH", MODEL_PATH)
|
||
|
||
tokenizer = AutoTokenizer.from_pretrained(TOKENIZER_PATH, trust_remote_code=True)
|
||
model = AutoModel.from_pretrained(MODEL_PATH, trust_remote_code=True, device_map="auto").eval()
|
||
# add .quantize(bits=4, device="cuda").cuda() before .eval() to use int4 model
|
||
# must use cuda to load int4 model
|
||
|
||
os_name = platform.system()
|
||
clear_command = 'cls' if os_name == 'Windows' else 'clear'
|
||
stop_stream = False
|
||
|
||
welcome_prompt = "欢迎使用 ChatGLM3-6B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序"
|
||
|
||
|
||
def build_prompt(history):
|
||
prompt = welcome_prompt
|
||
for query, response in history:
|
||
prompt += f"\n\n用户：{query}"
|
||
prompt += f"\n\nChatGLM3-6B：{response}"
|
||
return prompt
|
||
|
||
|
||
def main():
|
||
past_key_values, history = None, []
|
||
global stop_stream
|
||
print(welcome_prompt)
|
||
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(welcome_prompt)
|
||
continue
|
||
print("\nChatGLM：", end="")
|
||
current_length = 0
|
||
for response, history, past_key_values in model.stream_chat(tokenizer, query, history=history, top_p=1,
|
||
temperature=0.01,
|
||
past_key_values=past_key_values,
|
||
return_past_key_values=True):
|
||
if stop_stream:
|
||
stop_stream = False
|
||
break
|
||
else:
|
||
print(response[current_length:], end="", flush=True)
|
||
current_length = len(response)
|
||
print("")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|