CSPON/nlp_tools/main.py

import uvicorn
from fastapi import FastAPI
from pipeline import pipeline

app = FastAPI()


@app.post('/predict_land_price')
async def predict_land_price(city_name: str = "", year: int = -1, land_type: str = "工业用地（万元/㎡）",
                             policy_factors=None):
    pred_result, pred_feather = pipeline(city_name, year, land_type, policy_factors)
    return {"message": "ok", "pred_result": round(float(pred_result), 4), "pred_feather": pred_feather}


if __name__ == '__main__':
    uvicorn.run(app, **{'host': '0.0.0.0', 'port': 8516, 'log_level': 'info'})