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import subprocess | |
import assemblyai as aai | |
import requests | |
import moviepy.editor as mp | |
from TTS.api import TTS | |
class translation: | |
def __init__(self, video_path, original_language, target_language): | |
self.video_path = video_path | |
self.original_language = original_language | |
self.target_language = target_language | |
def org_language_parameters(self, original_language): | |
if original_language == 'English': | |
self.lan_code = 'en' | |
elif original_language == 'German': | |
self.lan_code = 'de' | |
elif original_language == 'Italian': | |
self.lan_code = 'it' | |
elif original_language == 'Spanish': | |
self.lan_code = 'es' | |
else: | |
self.lan_code = '' | |
def target_language_parameters(self, target_language): | |
if target_language == 'English': | |
self.tran_code = 'en' | |
elif target_language == 'German': | |
self.tran_code = 'de' | |
elif target_language == 'Italian': | |
self.tran_code = 'it' | |
elif target_language == 'Spanish': | |
self.tran_code = 'es' | |
else: | |
self.tran_code = '' | |
def extract_audio(self): | |
video = mp.VideoFileClip(self.video_path) | |
audio = video.audio | |
audio_path = "output_audio.wav" | |
audio.write_audiofile(audio_path) | |
return audio_path | |
def transcribe_audio(self, audio_path): | |
aai.settings.api_key = "c29eb650444a4ae4be6a787ebb15d5e2" | |
config = aai.TranscriptionConfig(language_code=self.lan_code) | |
transcriber = aai.Transcriber(config=config) | |
transcript = transcriber.transcribe(audio_path) | |
return transcript.text | |
def translate_text(self, transcript_text): | |
base_url = "https://api.cognitive.microsofttranslator.com" | |
endpoint = "/translate" | |
headers = { | |
"Ocp-Apim-Subscription-Key": "cd226bb1f3644276bea01d82dd861cbb", | |
"Content-Type": "application/json", | |
"Ocp-Apim-Subscription-Region": "southeastasia" | |
} | |
params = { | |
"api-version": "3.0", | |
"from": self.lan_code, | |
"to": self.tran_code | |
} | |
body = [{"text": transcript_text}] | |
response = requests.post(base_url + endpoint, headers=headers, params=params, json=body) | |
return response.json()[0]["translations"][0]["text"] | |
def generate_audio(self, translated_text): | |
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2") | |
tts.tts_to_file(translated_text, speaker_wav='output_audio.wav', file_path="output_synth.wav", language=self.tran_code) | |
return "output_synth.wav" | |
def translate_video(self): | |
audio_path = self.extract_audio() | |
self.org_language_parameters(self.original_language) | |
self.target_language_parameters(self.target_language) | |
transcript_text = self.transcribe_audio(audio_path) | |
translated_text = self.translate_text(transcript_text) | |
translated_audio_path = self.generate_audio(translated_text) | |
subprocess.run(['python', 'inference.py', '--checkpoint_path', 'checkpoints/wav2lip_gan.pth', '--face', self.video_path, '--audio', translated_audio_path, '--outfile', 'output_video.mp4']) | |
return 'output_video.mp4' | |