from fastapi import FastAPI, File, UploadFile
from PIL import Image
from fastapi.middleware.cors import CORSMiddleware
from rapidocr_onnxruntime import RapidOCR
import io
import numpy as np
import pandas as pd
# det_model_path同理
model = RapidOCR()

app = FastAPI()

# 2、声明一个 源 列表；重点：要包含跨域的客户端 源
origins = [
    "https://hycjack-fastapi-rapidocr.hf.space/",
    "http://localhost",
    "http://localhost:7860",
    # 客户端的源
    "http://127.0.0.1:7860"
]

# 3、配置 CORSMiddleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=origins,  # 允许访问的源
    allow_credentials=True,  # 支持 cookie
    allow_methods=["*"],  # 允许使用的请求方法
    allow_headers=["*"]  # 允许携带的 Headers
)

@app.get("/")
def read_root():
    return {"Hello": "World!"}
    
@app.post("/ocr")    
async def ocr(file: UploadFile = File(...)):
    # 读取上传的文件内容
    contents = await file.read()
    # 使用Pillow打开图像
    image = Image.open(io.BytesIO(contents))
    # 将图像转换为numpy数组
    np_array = np.array(image)
    ocr_result, elapse = model(np_array)
    dt_boxes, rec_res, scores = list(zip(*ocr_result))
    out_df = pd.DataFrame(
        [[box, rec, score] for box, rec, score in zip(dt_boxes, rec_res, scores)],
        columns=("box", "rec", "score"),
    )
    return out_df.to_dict(orient='records')