src/mainrun.py

from fastapi import FastAPI, Request
from fastcore.transform import Transform
from fastapi.responses import HTMLResponse
from fastapi.middleware.cors import CORSMiddleware
from fastbook import *
from pydantic import BaseModel, Field
import urllib.request
import base64
from fastai.vision.widgets import *
from fastai.vision import *
from fastai.vision.all import *
from fastai.metrics import *
from fastai.data.external import *
from fastai.vision.all import *
import torchvision.transforms as transforms
import os
import pathlib
import base64
from pathlib import *
import PIL
from PIL import Image
from PIL import Image, ImageOps
from fastai.vision.all import *
import torchvision.transforms as transforms
import uvicorn
import asyncio

class GrayscaleTransform(Transform):
    def __init__(self):
      pass
    def encodes(self, img: PILImage):
      return PIL.ImageOps.grayscale(img)

def get_fingers(fingers_path):
    print('fingers path', fingers_path)
    return []

def get_finger_label(finger_path: Path):
    print('finger path', finger_path)
    return ''

async def main():
  server = uvicorn.Server(uvicorn.Config("server:app", port=8080, log_level="debug", host="0.0.0.0"))
  # server = uvicorn.Server(uvicorn.Config("server:app", port=7860, log_level="debug", host="0.0.0.0"))
  await server.serve()

if __name__ == "__main__":
  print('Hello World!!')
  asyncio.run(main())