镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 23:16:48 +00:00
支持借助GROBID实现PDF高精度翻译
这个提交包含在:
@@ -0,0 +1,25 @@
|
||||
import requests
|
||||
import random
|
||||
from functools import lru_cache
|
||||
class GROBID_OFFLINE_EXCEPTION(Exception): pass
|
||||
|
||||
def get_avail_grobid_url():
|
||||
from toolbox import get_conf
|
||||
GROBID_URLS, = get_conf('GROBID_URLS')
|
||||
if len(GROBID_URLS) == 0: return None
|
||||
try:
|
||||
_grobid_url = random.choice(GROBID_URLS) # 随机负载均衡
|
||||
if _grobid_url.endswith('/'): _grobid_url = _grobid_url.rstrip('/')
|
||||
res = requests.get(_grobid_url+'/api/isalive')
|
||||
if res.text=='true': return _grobid_url
|
||||
else: return None
|
||||
except:
|
||||
return None
|
||||
|
||||
@lru_cache(maxsize=32)
|
||||
def parse_pdf(pdf_path, grobid_url):
|
||||
import scipdf # pip install scipdf_parser
|
||||
if grobid_url.endswith('/'): grobid_url = grobid_url.rstrip('/')
|
||||
article_dict = scipdf.parse_pdf_to_dict(pdf_path, grobid_url=grobid_url)
|
||||
return article_dict
|
||||
|
||||
在新工单中引用
屏蔽一个用户