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import os | |
from fastapi import FastAPI | |
from transformers import pipeline | |
# 必须在所有导入前设置环境变量 | |
os.environ["HF_HOME"] = "/app/.cache/huggingface" | |
os.environ["TRANSFORMERS_CACHE"] = "/app/.cache/huggingface" | |
app = FastAPI() | |
# 模型加载(带错误处理) | |
try: | |
analyzer = pipeline( | |
"text2text-generation", | |
model="Salesforce/codet5-small", | |
tokenizer="Salesforce/codet5-small" | |
) | |
except Exception as e: | |
raise RuntimeError(f"模型加载失败: {str(e)}") | |
async def analyze(code: str): | |
result = analyzer( | |
f"Analyze code vulnerabilities:\n{code}", | |
max_length=512, | |
num_beams=5 | |
)[0]['generated_text'] | |
return {"result": result} |