model_wrappers/model_b.py

from transformers import pipeline

# 中文 GPT2 模型（兼容 Hugging Face pipeline）
model_b = pipeline("text-generation", model="uer/gpt2-chinese-cluecorpussmall", tokenizer="uer/gpt2-chinese-cluecorpussmall")

def run_model_b(prompt: str) -> str:
    output = model_b(prompt,
                     max_length=100,
                     do_sample=True,
                     temperature=0.8,
                     top_k=50,
                     top_p=0.95)
    return output[0]["generated_text"]