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| import gradio as gr | |
| from transformers import VitsModel, AutoTokenizer | |
| import torch | |
| import scipy.io.wavfile | |
| # Initialize TTS models | |
| 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) | |
| es_tts = TTS(model_name="tts_models/es/mai/tacotron2-DDC", progress_bar=False, gpu=False) | |
| tam_tts_model = VitsModel.from_pretrained("facebook/mms-tts-tam") | |
| tam_tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-tam") | |
| 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": | |
| zh_tts.tts_to_file(text, file_path=file_path) | |
| elif language == "de": | |
| de_tts.tts_to_file(text, file_path=file_path) | |
| elif language == "es": | |
| es_tts.tts_to_file(text, file_path=file_path) | |
| elif language == "tam": | |
| inputs = tam_tokenizer(text, return_tensors="pt") | |
| with torch.no_grad(): | |
| output = tam_tts_model(**inputs).waveform | |
| scipy.io.wavfile.write(file_path, rate=tam_tts_model.config.sampling_rate, data=output.numpy()) | |
| 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 | |
| title = "Voice-Cloning-Demo" | |
| def toggle(choice): | |
| if choice == "mic": | |
| return gr.update(visible=True, value=None), gr.update(visible=False, value=None) | |
| else: | |
| return gr.update(visible=False, value=None), gr.update(visible=True, value=None) | |
| def handle_language_change(choice): | |
| if choice in ["zh-CN", "de", "es", "tam"]: | |
| return gr.update(visible=False), gr.update(visible=False), gr.update(visible(False)) | |
| else: | |
| return gr.update(visible=True), gr.update(visible(True)), gr.update(visible(True)) | |
| warming_text = """Please note that Chinese, German, Spanish, and Tamil are currently not supported for voice cloning.""" | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| with gr.Column(): | |
| text_input = gr.Textbox(label="Input the text", value="", max_lines=3) | |
| lan_input = gr.Radio(label="Language", choices=["en", "fr-fr", "pt-br", "zh-CN", "de", "es", "tam"], value="en") | |
| gr.Markdown(warming_text) | |
| radio = gr.Radio(["mic", "file"], value="mic", | |
| label="How would you like to upload your audio?") | |
| audio_input_mic = gr.Audio(label="Voice to clone", source="microphone", type="filepath", visible=True) | |
| audio_input_file = gr.Audio(label="Voice to clone", type="filepath", visible=False) | |
| with gr.Row(): | |
| with gr.Column(): | |
| btn_clear = gr.Button("Clear") | |
| with gr.Column(): | |
| btn = gr.Button("Submit", variant="primary") | |
| with gr.Column(): | |
| audio_output = gr.Audio(label="Output") | |
| btn.click(text_to_speech, inputs=[text_input, audio_input_mic, | |
| audio_input_file, lan_input], outputs=audio_output) | |
| radio.change(toggle, radio, [audio_input_mic, audio_input_file]) | |
| lan_input.change(handle_language_change, lan_input, [radio, audio_input_mic, audio_input_file]) | |
| demo.launch(enable_queue=True) | |