IRISLAB's picture
Upload 20 files
785fa6f verified
raw
history blame contribute delete
No virus
7.07 kB
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"]