from fastapi import FastAPI, File, UploadFile
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse
from transformers import pipeline,AutoModel
import streamlit as st
from PIL import Image
import torch
import numpy as np
import urllib.request
import io
import os

app = FastAPI()

@app.get("/inference")
def inference():
    return "<p>Hello, World!</p>"
    
@app.get("/infer_t5")
def t5(input):
    
    return {"output": input}

    
@app.post("/getCoordinates")
async def getCoordinates(image: UploadFile = File(...)):
    img = await image.read()
    image = Image.open(io.BytesIO(img)).convert("L").convert("RGB")
    path_to_image = "save.jpg"
    image.save(path_to_image)
    return "获取图片保存成功"