main.py

from __future__ import annotations
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import FileResponse
from fastapi.staticfiles import StaticFiles
import shutil
import torch

from vtoonify_model import Model

app = FastAPI()
model = Model(device='cuda' if torch.cuda.is_available() else 'cpu')

@app.post("/upload/")
async def process_image(file: UploadFile = File(...)):
    # Save the uploaded image locally
    with open("uploaded_image.jpg", "wb") as buffer:
        shutil.copyfileobj(file.file, buffer)

    # Load the model (assuming 'cartoon1' is always used)
    exstyle, load_info = model.load_model('cartoon1')

    # Process the uploaded image
    top, bottom, left, right = 200, 200, 200, 200  # Provide appropriate values for these parameters
    aligned_face, _, input_info = model.detect_and_align_image("uploaded_image.jpg", top, bottom, left, right)

    # Return the processed image
    return FileResponse("result_image.jpg")

app.mount("/", StaticFiles(directory="AB", html=True), name="static")

@app.get("/")
def index() -> FileResponse:
    return FileResponse(path="/app/AB/index.html", media_type="text/html")