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'