src/infer.py

# coding=utf-8
# Implement stream chat in command line for ChatGLM fine-tuned with PEFT.
# This code is largely borrowed from https://github.com/THUDM/ChatGLM-6B/blob/main/cli_demo.py


import os
import signal
import platform

from utils import ModelArguments, load_pretrained
from transformers import HfArgumentParser


os_name = platform.system()
clear_command = "cls" if os_name == "Windows" else "clear"
stop_stream = False
welcome = "欢迎使用 ChatGLM-6B 模型，输入内容即可对话，clear清空对话历史，stop终止程序"


def build_prompt(history):
    prompt = welcome
    for query, response in history:
        prompt += f"\n\nUser: {query}"
        prompt += f"\n\nChatGLM-6B: {response}"
    return prompt


def signal_handler(signal, frame):
    global stop_stream
    stop_stream = True


def main():

    global stop_stream
    parser = HfArgumentParser(ModelArguments)
    model_args, = parser.parse_args_into_dataclasses()
    model, tokenizer = load_pretrained(model_args)
    model = model.cuda()
    model.eval()

    history = []
    print(welcome)
    while True:
        try:
            query = input("\nInput: ")
        except UnicodeDecodeError:
            print("Detected decoding error at the inputs, please set the terminal encoding to utf-8.")
            continue
        except Exception:
            raise

        if query.strip() == "stop":
            break
        if query.strip() == "clear":
            history = []
            os.system(clear_command)
            print(welcome)
            continue

        count = 0
        for _, history in model.stream_chat(tokenizer, query, history=history):
            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()