Whisper-WebUI / modules /deepl_api.py
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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"]