File size: 2,776 Bytes
2c67080 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | # coding: utf-8
# [Pix2Text](https://github.com/breezedeus/pix2text): an Open-Source Alternative to Mathpix.
# Copyright (C) 2022-2024, [Breezedeus](https://www.breezedeus.com).
import time
from copy import deepcopy
from pathlib import Path
from typing import Dict, List, Any, Union, Optional
from pydantic import BaseModel
from fastapi import FastAPI, UploadFile, Form, HTTPException
from pix2text import set_logger, read_img, Pix2Text
logger = set_logger(log_level='DEBUG')
app = FastAPI()
@app.get("/")
async def root():
return {"message": "Welcome to Pix2Text Server!"}
class Pix2TextResponse(BaseModel):
status_code: int = 200
results: Union[str, List[Dict[str, Any]]]
output_dir: Optional[str] = None
def dict(self, **kwargs):
the_dict = deepcopy(super().dict())
return the_dict
@app.post("/pix2text")
async def ocr(
image: UploadFile,
file_type: str = Form(default='text_formula'),
resized_shape: str = Form(default=768),
embed_sep: str = Form(default=' $,$ '),
isolated_sep: str = Form(default='$$\n, \n$$'),
) -> Dict[str, Any]:
# curl 调用方式：
# $ curl -F image=@docs/examples/english.jpg --form 'image_type=mixed' --form 'resized_shape=768' \
# http://0.0.0.0:8503/pix2text
global P2T, OUTPUT_MD_ROOT_DIR
if file_type not in ('text', 'formula', 'text_formula', 'page'):
raise HTTPException(status_code=400, detail='file_type must be one of "text", "formula", "text_formula", "page"')
img_file = image.file
fn = Path(image.filename)
img0 = read_img(img_file, return_type='Image')
embed_sep = embed_sep.split(',')
isolated_sep = isolated_sep.split(',')
# use_analyzer = use_analyzer.lower() != 'false' if isinstance(use_analyzer, str) else use_analyzer
params = dict(resized_shape=int(resized_shape), return_text=True)
if len(embed_sep) == 2:
params['embed_sep'] = embed_sep
if len(isolated_sep) == 2:
params['isolated_sep'] = isolated_sep
logger.info(f'input {params=}')
res = P2T.recognize(img0, file_type=file_type, **params)
output_dir = None
if file_type in ('pdf', 'page'):
output_dir = str(OUTPUT_MD_ROOT_DIR / f'{fn.stem}-{time.time()}')
res = res.to_markdown(output_dir)
logger.info(f'output {res=}')
return Pix2TextResponse(results=res, output_dir=output_dir).dict()
def start_server(
p2t_config, output_md_root_dir, host='0.0.0.0', port=8503, reload=False, **kwargs
):
global P2T, OUTPUT_MD_ROOT_DIR
OUTPUT_MD_ROOT_DIR = Path(output_md_root_dir)
OUTPUT_MD_ROOT_DIR.mkdir(exist_ok=True, parents=True)
P2T = Pix2Text.from_config(**p2t_config)
import uvicorn
uvicorn.run(app, host=host, port=port, reload=reload, **kwargs)
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