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Traductor de voz a diferentes idiomas utilizando IA y Gradio para la creación de la UI Web
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| import gradio as gr | |
| import whisper | |
| from translate import Translator | |
| from dotenv import dotenv_values | |
| from elevenlabs.client import ElevenLabs | |
| from elevenlabs import VoiceSettings | |
| # requirements.txt | |
| """ | |
| gradio | |
| openai-whisper | |
| translate | |
| python-dotenv | |
| elevenlabs | |
| """ | |
| # Configuración .env | |
| # config = dotenv_values(".env") | |
| # ELEVENLABS_API_KEY = config["ELEVENLABS_API_KEY"] | |
| ELEVENLABS_API_KEY = "MY_API_KEY" | |
| def translator(audio_file): | |
| # 1. Transcribir texto | |
| # Usamos Whisper: https://github.com/openai/whisper | |
| # Alternativa API online: https://www.assemblyai.com | |
| try: | |
| model = whisper.load_model("base") | |
| result = model.transcribe(audio_file, language="Spanish", fp16=False) | |
| transcription = result["text"] | |
| except Exception as e: | |
| raise gr.Error( | |
| f"Se ha producido un error transcribiendo el texto: {str(e)}") | |
| print(f"Texto original: {transcription}") | |
| # 2. Traducir texto | |
| # Usamos Translate: https://github.com/terryyin/translate-python | |
| try: | |
| en_transcription = Translator( | |
| from_lang="es", to_lang="en").translate(transcription) | |
| it_transcription = Translator( | |
| from_lang="es", to_lang="it").translate(transcription) | |
| fr_transcription = Translator( | |
| from_lang="es", to_lang="fr").translate(transcription) | |
| ja_transcription = Translator( | |
| from_lang="es", to_lang="ja").translate(transcription) | |
| except Exception as e: | |
| raise gr.Error( | |
| f"Se ha producido un error traduciendo el texto: {str(e)}") | |
| print(f"Texto traducido a Inglés: {en_transcription}") | |
| print(f"Texto traducido a Italiano: {it_transcription}") | |
| print(f"Texto traducido a Francés: {fr_transcription}") | |
| print(f"Texto traducido a Japonés: {ja_transcription}") | |
| # 3. Generar audio traducido | |
| # Usamos Elevenlabs IO: https://elevenlabs.io/docs/api-reference/getting-started | |
| en_save_file_path = text_to_speach(en_transcription, "en") | |
| it_save_file_path = text_to_speach(it_transcription, "it") | |
| fr_save_file_path = text_to_speach(fr_transcription, "fr") | |
| ja_save_file_path = text_to_speach(ja_transcription, "ja") | |
| return en_save_file_path, it_save_file_path, fr_save_file_path, ja_save_file_path | |
| def text_to_speach(text: str, language: str) -> str: | |
| try: | |
| client = ElevenLabs(api_key=ELEVENLABS_API_KEY) | |
| response = client.text_to_speech.convert( | |
| voice_id="pNInz6obpgDQGcFmaJgB", # Adam | |
| optimize_streaming_latency="0", | |
| output_format="mp3_22050_32", | |
| text=text, | |
| model_id="eleven_turbo_v2", | |
| voice_settings=VoiceSettings( | |
| stability=0.0, | |
| similarity_boost=0.0, | |
| style=0.0, | |
| use_speaker_boost=True, | |
| ), | |
| ) | |
| save_file_path = f"{language}.mp3" | |
| with open(save_file_path, "wb") as f: | |
| for chunk in response: | |
| if chunk: | |
| f.write(chunk) | |
| except Exception as e: | |
| raise gr.Error( | |
| f"Se ha producido un error creando el audio: {str(e)}") | |
| return save_file_path | |
| web = gr.Interface( | |
| fn=translator, | |
| inputs=gr.Audio( | |
| sources=["microphone"], | |
| type="filepath", | |
| label="Español" | |
| ), | |
| outputs=[ | |
| gr.Audio(label="Inglés"), | |
| gr.Audio(label="Italiano"), | |
| gr.Audio(label="Francés"), | |
| gr.Audio(label="Japonés") | |
| ], | |
| title="Traductor de voz", | |
| description="Traductor de voz con IA a varios idiomas" | |
| ) | |
| web.launch() |
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