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import argparse | ||
from fastllm_pytools import llm | ||
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def args_parser(): | ||
parser = argparse.ArgumentParser(description = 'fastllm_chat_demo') | ||
parser.add_argument('-p', '--path', type = str, required = True, default = '', help = '模型文件的路径') | ||
args = parser.parse_args() | ||
return args | ||
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if __name__ == "__main__": | ||
args = args_parser() | ||
model = llm.model(args.path) | ||
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history = [] | ||
print("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 = [] | ||
print("输入内容即可进行对话,clear 清空对话历史,stop 终止程序") | ||
continue | ||
print("AI:", end = ""); | ||
curResponse = ""; | ||
for response in model.stream_response(query, history = history): | ||
curResponse += response; | ||
print(response, flush = True, end = "") | ||
history.append((query, curResponse)) |