Whisper-WebUI / modules /nllb_inference.py
jhj0517
added checkbox whether to add timestamp at the end of the filename
ccf78ae
raw
history blame
12.1 kB
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
import gradio as gr
import torch
import os
from datetime import datetime
from .base_interface import BaseInterface
from modules.subtitle_manager import *
DEFAULT_MODEL_SIZE = "facebook/nllb-200-1.3B"
NLLB_MODELS = ["facebook/nllb-200-3.3B", "facebook/nllb-200-1.3B", "facebook/nllb-200-distilled-600M"]
class NLLBInference(BaseInterface):
def __init__(self):
super().__init__()
self.default_model_size = DEFAULT_MODEL_SIZE
self.current_model_size = None
self.model = None
self.tokenizer = None
self.available_models = NLLB_MODELS
self.available_source_langs = list(NLLB_AVAILABLE_LANGS.keys())
self.available_target_langs = list(NLLB_AVAILABLE_LANGS.keys())
self.device = 0 if torch.cuda.is_available() else -1
self.pipeline = None
def translate_text(self, text):
result = self.pipeline(text)
return result[0]['translation_text']
def translate_file(self,
fileobjs: list,
model_size: str,
src_lang: str,
tgt_lang: str,
add_timestamp: bool,
progress=gr.Progress()):
"""
Translate subtitle file from source language to target language
Parameters
----------
fileobjs: list
List of files to transcribe from gr.Files()
model_size: str
Whisper model size from gr.Dropdown()
src_lang: str
Source language of the file to translate from gr.Dropdown()
tgt_lang: str
Target language of the file to translate from gr.Dropdown()
add_timestamp: bool
Boolean value from gr.Checkbox() that determines whether to add a timestamp at the end of the filename.
progress: gr.Progress
Indicator to show progress directly in gradio.
I use a forked version of whisper for this. To see more info : https://github.com/jhj0517/jhj0517-whisper/tree/add-progress-callback
"""
try:
if model_size != self.current_model_size or self.model is None:
print("\nInitializing NLLB Model..\n")
progress(0, desc="Initializing NLLB Model..")
self.current_model_size = model_size
self.model = AutoModelForSeq2SeqLM.from_pretrained(pretrained_model_name_or_path=model_size,
cache_dir=os.path.join("models", "NLLB"))
self.tokenizer = AutoTokenizer.from_pretrained(pretrained_model_name_or_path=model_size,
cache_dir=os.path.join("models", "NLLB", "tokenizers"))
src_lang = NLLB_AVAILABLE_LANGS[src_lang]
tgt_lang = NLLB_AVAILABLE_LANGS[tgt_lang]
self.pipeline = pipeline("translation",
model=self.model,
tokenizer=self.tokenizer,
src_lang=src_lang,
tgt_lang=tgt_lang,
device=self.device)
files_info = {}
for fileobj in fileobjs:
file_path = fileobj.name
file_name, file_ext = os.path.splitext(os.path.basename(fileobj.orig_name))
if file_ext == ".srt":
parsed_dicts = parse_srt(file_path=file_path)
total_progress = len(parsed_dicts)
for index, dic in enumerate(parsed_dicts):
progress(index / total_progress, desc="Translating..")
translated_text = self.translate_text(dic["sentence"])
dic["sentence"] = translated_text
subtitle = get_serialized_srt(parsed_dicts)
timestamp = datetime.now().strftime("%m%d%H%M%S")
if add_timestamp:
output_path = os.path.join("outputs", "translations", f"{file_name}-{timestamp}")
else:
output_path = os.path.join("outputs", "translations", f"{file_name}")
write_file(subtitle, f"{output_path}.srt")
elif file_ext == ".vtt":
parsed_dicts = parse_vtt(file_path=file_path)
total_progress = len(parsed_dicts)
for index, dic in enumerate(parsed_dicts):
progress(index / total_progress, desc="Translating..")
translated_text = self.translate_text(dic["sentence"])
dic["sentence"] = translated_text
subtitle = get_serialized_vtt(parsed_dicts)
timestamp = datetime.now().strftime("%m%d%H%M%S")
if add_timestamp:
output_path = os.path.join("outputs", "translations", f"{file_name}-{timestamp}")
else:
output_path = os.path.join("outputs", "translations", f"{file_name}")
write_file(subtitle, f"{output_path}.vtt")
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}'
return f"Done! Subtitle is in the outputs/translation folder.\n\n{total_result}"
except Exception as e:
return f"Error: {str(e)}"
finally:
self.release_cuda_memory()
self.remove_input_files([fileobj.name for fileobj in fileobjs])
NLLB_AVAILABLE_LANGS = {
"Acehnese (Arabic script)": "ace_Arab",
"Acehnese (Latin script)": "ace_Latn",
"Mesopotamian Arabic": "acm_Arab",
"Ta’izzi-Adeni Arabic": "acq_Arab",
"Tunisian Arabic": "aeb_Arab",
"Afrikaans": "afr_Latn",
"South Levantine Arabic": "ajp_Arab",
"Akan": "aka_Latn",
"Amharic": "amh_Ethi",
"North Levantine Arabic": "apc_Arab",
"Modern Standard Arabic": "arb_Arab",
"Modern Standard Arabic (Romanized)": "arb_Latn",
"Najdi Arabic": "ars_Arab",
"Moroccan Arabic": "ary_Arab",
"Egyptian Arabic": "arz_Arab",
"Assamese": "asm_Beng",
"Asturian": "ast_Latn",
"Awadhi": "awa_Deva",
"Central Aymara": "ayr_Latn",
"South Azerbaijani": "azb_Arab",
"North Azerbaijani": "azj_Latn",
"Bashkir": "bak_Cyrl",
"Bambara": "bam_Latn",
"Balinese": "ban_Latn",
"Belarusian": "bel_Cyrl",
"Bemba": "bem_Latn",
"Bengali": "ben_Beng",
"Bhojpuri": "bho_Deva",
"Banjar (Arabic script)": "bjn_Arab",
"Banjar (Latin script)": "bjn_Latn",
"Standard Tibetan": "bod_Tibt",
"Bosnian": "bos_Latn",
"Buginese": "bug_Latn",
"Bulgarian": "bul_Cyrl",
"Catalan": "cat_Latn",
"Cebuano": "ceb_Latn",
"Czech": "ces_Latn",
"Chokwe": "cjk_Latn",
"Central Kurdish": "ckb_Arab",
"Crimean Tatar": "crh_Latn",
"Welsh": "cym_Latn",
"Danish": "dan_Latn",
"German": "deu_Latn",
"Southwestern Dinka": "dik_Latn",
"Dyula": "dyu_Latn",
"Dzongkha": "dzo_Tibt",
"Greek": "ell_Grek",
"English": "eng_Latn",
"Esperanto": "epo_Latn",
"Estonian": "est_Latn",
"Basque": "eus_Latn",
"Ewe": "ewe_Latn",
"Faroese": "fao_Latn",
"Fijian": "fij_Latn",
"Finnish": "fin_Latn",
"Fon": "fon_Latn",
"French": "fra_Latn",
"Friulian": "fur_Latn",
"Nigerian Fulfulde": "fuv_Latn",
"Scottish Gaelic": "gla_Latn",
"Irish": "gle_Latn",
"Galician": "glg_Latn",
"Guarani": "grn_Latn",
"Gujarati": "guj_Gujr",
"Haitian Creole": "hat_Latn",
"Hausa": "hau_Latn",
"Hebrew": "heb_Hebr",
"Hindi": "hin_Deva",
"Chhattisgarhi": "hne_Deva",
"Croatian": "hrv_Latn",
"Hungarian": "hun_Latn",
"Armenian": "hye_Armn",
"Igbo": "ibo_Latn",
"Ilocano": "ilo_Latn",
"Indonesian": "ind_Latn",
"Icelandic": "isl_Latn",
"Italian": "ita_Latn",
"Javanese": "jav_Latn",
"Japanese": "jpn_Jpan",
"Kabyle": "kab_Latn",
"Jingpho": "kac_Latn",
"Kamba": "kam_Latn",
"Kannada": "kan_Knda",
"Kashmiri (Arabic script)": "kas_Arab",
"Kashmiri (Devanagari script)": "kas_Deva",
"Georgian": "kat_Geor",
"Central Kanuri (Arabic script)": "knc_Arab",
"Central Kanuri (Latin script)": "knc_Latn",
"Kazakh": "kaz_Cyrl",
"Kabiyè": "kbp_Latn",
"Kabuverdianu": "kea_Latn",
"Khmer": "khm_Khmr",
"Kikuyu": "kik_Latn",
"Kinyarwanda": "kin_Latn",
"Kyrgyz": "kir_Cyrl",
"Kimbundu": "kmb_Latn",
"Northern Kurdish": "kmr_Latn",
"Kikongo": "kon_Latn",
"Korean": "kor_Hang",
"Lao": "lao_Laoo",
"Ligurian": "lij_Latn",
"Limburgish": "lim_Latn",
"Lingala": "lin_Latn",
"Lithuanian": "lit_Latn",
"Lombard": "lmo_Latn",
"Latgalian": "ltg_Latn",
"Luxembourgish": "ltz_Latn",
"Luba-Kasai": "lua_Latn",
"Ganda": "lug_Latn",
"Luo": "luo_Latn",
"Mizo": "lus_Latn",
"Standard Latvian": "lvs_Latn",
"Magahi": "mag_Deva",
"Maithili": "mai_Deva",
"Malayalam": "mal_Mlym",
"Marathi": "mar_Deva",
"Minangkabau (Arabic script)": "min_Arab",
"Minangkabau (Latin script)": "min_Latn",
"Macedonian": "mkd_Cyrl",
"Plateau Malagasy": "plt_Latn",
"Maltese": "mlt_Latn",
"Meitei (Bengali script)": "mni_Beng",
"Halh Mongolian": "khk_Cyrl",
"Mossi": "mos_Latn",
"Maori": "mri_Latn",
"Burmese": "mya_Mymr",
"Dutch": "nld_Latn",
"Norwegian Nynorsk": "nno_Latn",
"Norwegian Bokmål": "nob_Latn",
"Nepali": "npi_Deva",
"Northern Sotho": "nso_Latn",
"Nuer": "nus_Latn",
"Nyanja": "nya_Latn",
"Occitan": "oci_Latn",
"West Central Oromo": "gaz_Latn",
"Odia": "ory_Orya",
"Pangasinan": "pag_Latn",
"Eastern Panjabi": "pan_Guru",
"Papiamento": "pap_Latn",
"Western Persian": "pes_Arab",
"Polish": "pol_Latn",
"Portuguese": "por_Latn",
"Dari": "prs_Arab",
"Southern Pashto": "pbt_Arab",
"Ayacucho Quechua": "quy_Latn",
"Romanian": "ron_Latn",
"Rundi": "run_Latn",
"Russian": "rus_Cyrl",
"Sango": "sag_Latn",
"Sanskrit": "san_Deva",
"Santali": "sat_Olck",
"Sicilian": "scn_Latn",
"Shan": "shn_Mymr",
"Sinhala": "sin_Sinh",
"Slovak": "slk_Latn",
"Slovenian": "slv_Latn",
"Samoan": "smo_Latn",
"Shona": "sna_Latn",
"Sindhi": "snd_Arab",
"Somali": "som_Latn",
"Southern Sotho": "sot_Latn",
"Spanish": "spa_Latn",
"Tosk Albanian": "als_Latn",
"Sardinian": "srd_Latn",
"Serbian": "srp_Cyrl",
"Swati": "ssw_Latn",
"Sundanese": "sun_Latn",
"Swedish": "swe_Latn",
"Swahili": "swh_Latn",
"Silesian": "szl_Latn",
"Tamil": "tam_Taml",
"Tatar": "tat_Cyrl",
"Telugu": "tel_Telu",
"Tajik": "tgk_Cyrl",
"Tagalog": "tgl_Latn",
"Thai": "tha_Thai",
"Tigrinya": "tir_Ethi",
"Tamasheq (Latin script)": "taq_Latn",
"Tamasheq (Tifinagh script)": "taq_Tfng",
"Tok Pisin": "tpi_Latn",
"Tswana": "tsn_Latn",
"Tsonga": "tso_Latn",
"Turkmen": "tuk_Latn",
"Tumbuka": "tum_Latn",
"Turkish": "tur_Latn",
"Twi": "twi_Latn",
"Central Atlas Tamazight": "tzm_Tfng",
"Uyghur": "uig_Arab",
"Ukrainian": "ukr_Cyrl",
"Umbundu": "umb_Latn",
"Urdu": "urd_Arab",
"Northern Uzbek": "uzn_Latn",
"Venetian": "vec_Latn",
"Vietnamese": "vie_Latn",
"Waray": "war_Latn",
"Wolof": "wol_Latn",
"Xhosa": "xho_Latn",
"Eastern Yiddish": "ydd_Hebr",
"Yoruba": "yor_Latn",
"Yue Chinese": "yue_Hant",
"Chinese (Simplified)": "zho_Hans",
"Chinese (Traditional)": "zho_Hant",
"Standard Malay": "zsm_Latn",
"Zulu": "zul_Latn",
}