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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' | |