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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'
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