| from transformers import pipeline | |
| from fastapi import FastAPI | |
| from pydantic import BaseModel | |
| app = FastAPI() | |
| class TextInput(BaseModel): | |
| text: str | |
| classifier = pipeline("text-classification", model="./") | |
| async def predict(input_data: TextInput): | |
| result = classifier(input_data.text) | |
| return result |