gpt-academic / multi_language.py
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import os
def extract_chinese_characters(file_path):
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
chinese_characters = []
sentence = {'file':file_path, 'begin':-1, 'end':-1, 'word': ""}
for index, char in enumerate(content):
if 0x4e00 <= ord(char) <= 0x9fff:
sentence['word'] += char
if sentence['begin'] == -1: sentence['begin'] = index
sentence['end'] = index
else:
if len(sentence['word'])>0:
chinese_characters.append(sentence)
sentence = {'file':file_path, 'begin':-1, 'end':-1, 'word': ""}
return chinese_characters
def extract_chinese_characters_from_directory(directory_path):
chinese_characters = []
for root, dirs, files in os.walk(directory_path):
for file in files:
if file.endswith('.py'):
file_path = os.path.join(root, file)
chinese_characters.extend(extract_chinese_characters(file_path))
return chinese_characters
directory_path = './'
chinese_characters = extract_chinese_characters_from_directory(directory_path)
word_to_translate = {}
for d in chinese_characters:
word_to_translate[d['word']] = "Translation"
print('All Chinese characters:', chinese_characters)