| from typing import Dict, List, Any | |
| from transformers import pipeline | |
| class EndpointHandler(): | |
| def __init__(self, path=""): | |
| # 初始化方法，加载模型 | |
| self.pipeline = pipeline("text-classification", model=path) | |
| def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: | |
| # 处理输入数据并返回预测结果 | |
| inputs = data.get("inputs", "") | |
| # 使用对话模型生成响应 | |
| conversation = self.pipeline(inputs) | |
| # 返回模型的响应 | |
| return {"response": conversation.generated_responses[0]} | |