Spaces:
Paused
Paused
Json is good
Browse files- crazy_functions/批量总结PDF文档.py +2 -2
- docs/translate_english.json +0 -0
- multi_language.py +59 -2
crazy_functions/批量总结PDF文档.py
CHANGED
@@ -41,8 +41,8 @@ def clean_text(raw_text):
|
|
41 |
"""
|
42 |
对从 PDF 提取出的原始文本进行清洗和格式化处理。
|
43 |
1. 对原始文本进行归一化处理。
|
44 |
-
2.
|
45 |
-
3. 根据 heuristic
|
46 |
"""
|
47 |
# 对文本进行归一化处理
|
48 |
normalized_text = normalize_text(raw_text)
|
|
|
41 |
"""
|
42 |
对从 PDF 提取出的原始文本进行清洗和格式化处理。
|
43 |
1. 对原始文本进行归一化处理。
|
44 |
+
2. 替换跨行的连词
|
45 |
+
3. 根据 heuristic 规则判断换行符是否是段落分隔,并相应地进行替换
|
46 |
"""
|
47 |
# 对文本进行归一化处理
|
48 |
normalized_text = normalize_text(raw_text)
|
docs/translate_english.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
multi_language.py
CHANGED
@@ -110,7 +110,7 @@ def read_map_from_json(language):
|
|
110 |
if os.path.exists(f'docs/translate_{language.lower()}.json'):
|
111 |
with open(f'docs/translate_{language.lower()}.json', 'r', encoding='utf8') as f:
|
112 |
res = json.load(f)
|
113 |
-
res = {k:v for k, v in res.items() if v is not None}
|
114 |
return res
|
115 |
return {}
|
116 |
|
@@ -181,6 +181,8 @@ def trans(word_to_translate, language, special=False):
|
|
181 |
try:
|
182 |
res_before_trans = eval(result[i-1])
|
183 |
res_after_trans = eval(result[i])
|
|
|
|
|
184 |
for a,b in zip(res_before_trans, res_after_trans):
|
185 |
translated_result[a] = b
|
186 |
except:
|
@@ -196,6 +198,57 @@ def trans(word_to_translate, language, special=False):
|
|
196 |
translated_result[a] = None
|
197 |
return translated_result
|
198 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
199 |
def step_1_core_key_translate():
|
200 |
def extract_chinese_characters(file_path):
|
201 |
syntax = []
|
@@ -310,6 +363,7 @@ def step_2_core_key_translate():
|
|
310 |
splitted_string = advanced_split(splitted_string, spliter="]", include_spliter=False)
|
311 |
splitted_string = advanced_split(splitted_string, spliter="【", include_spliter=False)
|
312 |
splitted_string = advanced_split(splitted_string, spliter="】", include_spliter=False)
|
|
|
313 |
splitted_string = advanced_split(splitted_string, spliter=":", include_spliter=False)
|
314 |
splitted_string = advanced_split(splitted_string, spliter=":", include_spliter=False)
|
315 |
splitted_string = advanced_split(splitted_string, spliter=",", include_spliter=False)
|
@@ -318,6 +372,9 @@ def step_2_core_key_translate():
|
|
318 |
splitted_string = advanced_split(splitted_string, spliter=";", include_spliter=False)
|
319 |
splitted_string = advanced_split(splitted_string, spliter="`", include_spliter=False)
|
320 |
splitted_string = advanced_split(splitted_string, spliter=" ", include_spliter=False)
|
|
|
|
|
|
|
321 |
# --------------------------------------
|
322 |
for j, s in enumerate(splitted_string): # .com
|
323 |
if '.com' in s: continue
|
@@ -377,7 +434,7 @@ def step_2_core_key_translate():
|
|
377 |
need_translate.append(d)
|
378 |
|
379 |
|
380 |
-
up =
|
381 |
map_to_json(up, language=LANG)
|
382 |
cached_translation = read_map_from_json(language=LANG)
|
383 |
cached_translation = dict(sorted(cached_translation.items(), key=lambda x: -len(x[0])))
|
|
|
110 |
if os.path.exists(f'docs/translate_{language.lower()}.json'):
|
111 |
with open(f'docs/translate_{language.lower()}.json', 'r', encoding='utf8') as f:
|
112 |
res = json.load(f)
|
113 |
+
res = {k:v for k, v in res.items() if v is not None and contains_chinese(k)}
|
114 |
return res
|
115 |
return {}
|
116 |
|
|
|
181 |
try:
|
182 |
res_before_trans = eval(result[i-1])
|
183 |
res_after_trans = eval(result[i])
|
184 |
+
if len(res_before_trans) != len(res_after_trans):
|
185 |
+
raise RuntimeError
|
186 |
for a,b in zip(res_before_trans, res_after_trans):
|
187 |
translated_result[a] = b
|
188 |
except:
|
|
|
198 |
translated_result[a] = None
|
199 |
return translated_result
|
200 |
|
201 |
+
|
202 |
+
def trans_json(word_to_translate, language, special=False):
|
203 |
+
if len(word_to_translate) == 0: return {}
|
204 |
+
from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
|
205 |
+
from toolbox import get_conf, ChatBotWithCookies
|
206 |
+
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY = \
|
207 |
+
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY')
|
208 |
+
llm_kwargs = {
|
209 |
+
'api_key': API_KEY,
|
210 |
+
'llm_model': LLM_MODEL,
|
211 |
+
'top_p':1.0,
|
212 |
+
'max_length': None,
|
213 |
+
'temperature':0.1,
|
214 |
+
}
|
215 |
+
import random
|
216 |
+
N_EACH_REQ = random.randint(16, 32)
|
217 |
+
random.shuffle(word_to_translate)
|
218 |
+
word_to_translate_split = split_list(word_to_translate, N_EACH_REQ)
|
219 |
+
inputs_array = [{k:"#" for k in s} for s in word_to_translate_split]
|
220 |
+
inputs_array = [ json.dumps(i, ensure_ascii=False) for i in inputs_array]
|
221 |
+
|
222 |
+
inputs_show_user_array = inputs_array
|
223 |
+
history_array = [[] for _ in inputs_array]
|
224 |
+
sys_prompt_array = [f"Replace each json value `#` with translated results in {LANG}, e.g., \"原始文本\":\"TranslatedText\". Keep Json format. Do not answer #." for _ in inputs_array]
|
225 |
+
chatbot = ChatBotWithCookies(llm_kwargs)
|
226 |
+
gpt_say_generator = request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
|
227 |
+
inputs_array,
|
228 |
+
inputs_show_user_array,
|
229 |
+
llm_kwargs,
|
230 |
+
chatbot,
|
231 |
+
history_array,
|
232 |
+
sys_prompt_array,
|
233 |
+
)
|
234 |
+
while True:
|
235 |
+
try:
|
236 |
+
gpt_say = next(gpt_say_generator)
|
237 |
+
print(gpt_say[1][0][1])
|
238 |
+
except StopIteration as e:
|
239 |
+
result = e.value
|
240 |
+
break
|
241 |
+
translated_result = {}
|
242 |
+
for i, r in enumerate(result):
|
243 |
+
if i%2 == 1:
|
244 |
+
try:
|
245 |
+
translated_result.update(json.loads(result[i]))
|
246 |
+
except:
|
247 |
+
print(result[i])
|
248 |
+
print(result)
|
249 |
+
return translated_result
|
250 |
+
|
251 |
+
|
252 |
def step_1_core_key_translate():
|
253 |
def extract_chinese_characters(file_path):
|
254 |
syntax = []
|
|
|
363 |
splitted_string = advanced_split(splitted_string, spliter="]", include_spliter=False)
|
364 |
splitted_string = advanced_split(splitted_string, spliter="【", include_spliter=False)
|
365 |
splitted_string = advanced_split(splitted_string, spliter="】", include_spliter=False)
|
366 |
+
splitted_string = advanced_split(splitted_string, spliter="?", include_spliter=False)
|
367 |
splitted_string = advanced_split(splitted_string, spliter=":", include_spliter=False)
|
368 |
splitted_string = advanced_split(splitted_string, spliter=":", include_spliter=False)
|
369 |
splitted_string = advanced_split(splitted_string, spliter=",", include_spliter=False)
|
|
|
372 |
splitted_string = advanced_split(splitted_string, spliter=";", include_spliter=False)
|
373 |
splitted_string = advanced_split(splitted_string, spliter="`", include_spliter=False)
|
374 |
splitted_string = advanced_split(splitted_string, spliter=" ", include_spliter=False)
|
375 |
+
splitted_string = advanced_split(splitted_string, spliter="- ", include_spliter=False)
|
376 |
+
splitted_string = advanced_split(splitted_string, spliter="---", include_spliter=False)
|
377 |
+
|
378 |
# --------------------------------------
|
379 |
for j, s in enumerate(splitted_string): # .com
|
380 |
if '.com' in s: continue
|
|
|
434 |
need_translate.append(d)
|
435 |
|
436 |
|
437 |
+
up = trans_json(need_translate, language=LANG, special=False)
|
438 |
map_to_json(up, language=LANG)
|
439 |
cached_translation = read_map_from_json(language=LANG)
|
440 |
cached_translation = dict(sorted(cached_translation.items(), key=lambda x: -len(x[0])))
|