from fastapi import FastAPI, File, UploadFile | |
from fastapi.staticfiles import StaticFiles | |
from fastapi.responses import FileResponse | |
from PIL import Image | |
import numpy as np | |
import urllib.request | |
import io | |
import os | |
from moviepyTest import test | |
# app = FastAPI() | |
# @app.get("/inference") | |
# def inference(): | |
# return "<p>Hello, World!</p>" | |
# @app.get("/infer_t5") | |
# def t5(input): | |
# return {"output": input} | |
# @app.get("/moviepyTest") | |
# def t5(): | |
# result = test() | |
# return {"output": result} | |
# @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" | |
from flask import Flask, request, jsonify, send_file | |
from io import BytesIO | |
app = Flask(__name__) | |
def test(): | |
return "123test" |