import gradio as gr from TTS.api import TTS # Init TTS tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar = False, gpu=False) zh_tts = TTS(model_name="tts_models/zh-CN/baker/tacotron2-DDC-GST", progress_bar=False, gpu=False) # de_tts = TTS(model_name = "tts_models/de/thorsten/vits", gpu=False) de_tts = TTS(model_name = "tts_models/de/thorsten/tacotron2-DCA", gpu=False) es_tts = TTS(model_name = "tts_models/es/mai/tacotron2-DCA", progress_bar=False, gpu=False) def text_to_speech(text: str, speaker_wav, speaker_wav_file, language: str): if speaker_wav_file and not speaker_wav: speaker_wav = speaker_wav_file file_path = "output.wav" if language == "zh-CN": # if speaker_wav is not None: # zh_tts.tts_to_file(text, speaker_wav=speaker_wav, file_path=file_path) # else: zh_tts.tts_to_file(text, file_path=file_path) elif language == "de": # if speaker_wav is not None: # de_tts.tts_to_file(text, speaker_wav=speaker_wav, file_path=file_path) # else: de_tts.tts_to_file(text, file_path=file_path) elif language == "es": # if speaker_wav is not None: # es_tts.tts_to_file(text, speaker_wav=speaker_wav, file_path=file_path) # else: es_tts.tts_to_file(text, file_path=file_path) else: if speaker_wav is not None: tts.tts_to_file(text, speaker_wav=speaker_wav, language=language, file_path=file_path) else: tts.tts_to_file(text, speaker=tts.speakers[0], language=language, file_path=file_path) return file_path inputs = [gr.Textbox(label="Input the text", value="", max_lines=3), gr.Audio(label="Voice to clone", source="microphone", type="filepath"), gr.Audio(label="Voice to clone", type="filepath"), gr.Radio(label="Language", choices=["en", "zh-CN", "fr-fr", "de", "es"], value="en")] outputs = gr.Audio(label="Output") demo = gr.Interface(fn=text_to_speech, inputs=inputs, outputs=outputs) demo.launch()