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import requests | |
import time | |
import os | |
from datetime import datetime | |
import gradio as gr | |
from modules.subtitle_manager import * | |
""" | |
This is written with reference to the DeepL API documentation. | |
If you want to know the information of the DeepL API, see here: https://www.deepl.com/docs-api/documents | |
""" | |
DEEPL_AVAILABLE_TARGET_LANGS = { | |
'Bulgarian': 'BG', | |
'Czech': 'CS', | |
'Danish': 'DA', | |
'German': 'DE', | |
'Greek': 'EL', | |
'English': 'EN', | |
'English (British)': 'EN-GB', | |
'English (American)': 'EN-US', | |
'Spanish': 'ES', | |
'Estonian': 'ET', | |
'Finnish': 'FI', | |
'French': 'FR', | |
'Hungarian': 'HU', | |
'Indonesian': 'ID', | |
'Italian': 'IT', | |
'Japanese': 'JA', | |
'Korean': 'KO', | |
'Lithuanian': 'LT', | |
'Latvian': 'LV', | |
'Norwegian (Bokmål)': 'NB', | |
'Dutch': 'NL', | |
'Polish': 'PL', | |
'Portuguese': 'PT', | |
'Portuguese (Brazilian)': 'PT-BR', | |
'Portuguese (all Portuguese varieties excluding Brazilian Portuguese)': 'PT-PT', | |
'Romanian': 'RO', | |
'Russian': 'RU', | |
'Slovak': 'SK', | |
'Slovenian': 'SL', | |
'Swedish': 'SV', | |
'Turkish': 'TR', | |
'Ukrainian': 'UK', | |
'Chinese (simplified)': 'ZH' | |
} | |
DEEPL_AVAILABLE_SOURCE_LANGS = { | |
'Automatic Detection': None, | |
'Bulgarian': 'BG', | |
'Czech': 'CS', | |
'Danish': 'DA', | |
'German': 'DE', | |
'Greek': 'EL', | |
'English': 'EN', | |
'Spanish': 'ES', | |
'Estonian': 'ET', | |
'Finnish': 'FI', | |
'French': 'FR', | |
'Hungarian': 'HU', | |
'Indonesian': 'ID', | |
'Italian': 'IT', | |
'Japanese': 'JA', | |
'Korean': 'KO', | |
'Lithuanian': 'LT', | |
'Latvian': 'LV', | |
'Norwegian (Bokmål)': 'NB', | |
'Dutch': 'NL', | |
'Polish': 'PL', | |
'Portuguese (all Portuguese varieties mixed)': 'PT', | |
'Romanian': 'RO', | |
'Russian': 'RU', | |
'Slovak': 'SK', | |
'Slovenian': 'SL', | |
'Swedish': 'SV', | |
'Turkish': 'TR', | |
'Ukrainian': 'UK', | |
'Chinese': 'ZH' | |
} | |
class DeepLAPI: | |
def __init__(self): | |
self.api_interval = 1 | |
self.max_text_batch_size = 50 | |
self.available_target_langs = DEEPL_AVAILABLE_TARGET_LANGS | |
self.available_source_langs = DEEPL_AVAILABLE_SOURCE_LANGS | |
def translate_deepl(self, | |
auth_key: str, | |
fileobjs: list, | |
source_lang: str, | |
target_lang: str, | |
is_pro: bool, | |
progress=gr.Progress()) -> list: | |
""" | |
Translate subtitle files using DeepL API | |
Parameters | |
---------- | |
auth_key: str | |
API Key for DeepL from gr.Textbox() | |
fileobjs: list | |
List of files to transcribe from gr.Files() | |
source_lang: str | |
Source language of the file to transcribe from gr.Dropdown() | |
target_lang: str | |
Target language of the file to transcribe from gr.Dropdown() | |
is_pro: str | |
Boolean value that is about pro user or not from gr.Checkbox(). | |
progress: gr.Progress | |
Indicator to show progress directly in gradio. | |
Returns | |
---------- | |
A List of | |
String to return to gr.Textbox() | |
Files to return to gr.Files() | |
""" | |
files_info = {} | |
for fileobj in fileobjs: | |
file_path = fileobj.name | |
file_name, file_ext = os.path.splitext(os.path.basename(fileobj.name)) | |
if file_ext == ".srt": | |
parsed_dicts = parse_srt(file_path=file_path) | |
batch_size = self.max_text_batch_size | |
for batch_start in range(0, len(parsed_dicts), batch_size): | |
batch_end = min(batch_start + batch_size, len(parsed_dicts)) | |
sentences_to_translate = [dic["sentence"] for dic in parsed_dicts[batch_start:batch_end]] | |
translated_texts = self.request_deepl_translate(auth_key, sentences_to_translate, source_lang, | |
target_lang, is_pro) | |
for i, translated_text in enumerate(translated_texts): | |
parsed_dicts[batch_start + i]["sentence"] = translated_text["text"] | |
progress(batch_end / len(parsed_dicts), desc="Translating..") | |
subtitle = get_serialized_srt(parsed_dicts) | |
timestamp = datetime.now().strftime("%m%d%H%M%S") | |
file_name = file_name[:-9] | |
output_path = os.path.join("outputs", "translations", f"{file_name}-{timestamp}.srt") | |
write_file(subtitle, output_path) | |
elif file_ext == ".vtt": | |
parsed_dicts = parse_vtt(file_path=file_path) | |
batch_size = self.max_text_batch_size | |
for batch_start in range(0, len(parsed_dicts), batch_size): | |
batch_end = min(batch_start + batch_size, len(parsed_dicts)) | |
sentences_to_translate = [dic["sentence"] for dic in parsed_dicts[batch_start:batch_end]] | |
translated_texts = self.request_deepl_translate(auth_key, sentences_to_translate, source_lang, | |
target_lang, is_pro) | |
for i, translated_text in enumerate(translated_texts): | |
parsed_dicts[batch_start + i]["sentence"] = translated_text["text"] | |
progress(batch_end / len(parsed_dicts), desc="Translating..") | |
subtitle = get_serialized_vtt(parsed_dicts) | |
timestamp = datetime.now().strftime("%m%d%H%M%S") | |
file_name = file_name[:-9] | |
output_path = os.path.join("outputs", "translations", f"{file_name}-{timestamp}.vtt") | |
write_file(subtitle, output_path) | |
files_info[file_name] = subtitle | |
total_result = '' | |
for file_name, subtitle in files_info.items(): | |
total_result += '------------------------------------\n' | |
total_result += f'{file_name}\n\n' | |
total_result += f'{subtitle}' | |
gr_str = f"Done! Subtitle is in the outputs/translation folder.\n\n{total_result}" | |
return [gr_str, output_path] | |
def request_deepl_translate(self, | |
auth_key: str, | |
text: list, | |
source_lang: str, | |
target_lang: str, | |
is_pro: bool): | |
"""Request API response to DeepL server""" | |
url = 'https://api.deepl.com/v2/translate' if is_pro else 'https://api-free.deepl.com/v2/translate' | |
headers = { | |
'Authorization': f'DeepL-Auth-Key {auth_key}' | |
} | |
data = { | |
'text': text, | |
'source_lang': DEEPL_AVAILABLE_SOURCE_LANGS[source_lang], | |
'target_lang': DEEPL_AVAILABLE_TARGET_LANGS[target_lang] | |
} | |
response = requests.post(url, headers=headers, data=data).json() | |
time.sleep(self.api_interval) | |
return response["translations"] |