# ======= PREPARING THE PIPELINE ======= 

import torch
import os
from utils.preprocess import get_preprocess
from utils.model import get_model

dump_path = "./dumps/"
vocab_path = os.path.join(dump_path, "vocab.pt")
model_path = os.path.join(dump_path, "model.pt")
params_path = os.path.join(dump_path, "params.json")

preprocess = get_preprocess(vocab_path)
model = get_model(model_path, params_path)

def predict(text):
	x = preprocess(text)
	x = torch.tensor([x])
	y = model(x)
	y = y.detach().numpy().tolist()[0]
	return y

# ======= CREATING APP ======= 

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def main(text: str):
    return predict(text)