import uvicorn

from fastapi import FastAPI

from fastapi.middleware.cors import CORSMiddleware

from fastapi.responses import FileResponse

import numpy as np

import pickle

origens = ["*"]

img_path='static/churn.jpg'

file_path='templates/index.html'

app = FastAPI()

app.add_middleware(

CORSMiddleware,

allow_origens=origens,

allow_credentials=True,

allow_methods=["*"],

allow_headers=["*"],

)

pickle_in = open("churn_model.pkl","rb")

model=pickle.load(pickle_in)

@app.get("/")

async def root():

return FileResponse(file_path)

@app.get("/image")

async def image():

return FileResponse(img_path)

@app.get("/predict")

async def predict(gender_M:float, year:float, membership_category:float,complaint_status:float, feedback:float,age:float,days_since_last_login:float,avg_time_spent:float, avg_transaction_value:float,avg_frequency_login_days:float, points_in_wallet:float):

}

if __name__ == '__main__':

uvicorn.run(app, host='0.0.0.0', port=8000)