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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)
es_tts = TTS(model_name="tts_models/es/mai/tacotron2-DDC", 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", "pt-br", "de", "es"], value="en"),
# gr.Text(intro_text, font_size=14)]
# outputs = gr.Audio(label="Output")
# demo = gr.Interface(fn=text_to_speech, inputs=inputs, outputs=outputs)
# demo.launch()
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 == "zh-CN" or choice == "de" or choice == "es":
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, and Spanish 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)
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)
lan_input = gr.Radio(label="Language", choices=["en", "zh-CN", "fr-fr", "pt-br", "de", "es"], value="en")
gradio.Markdown(warming_text)
btn = gr.Button("Submit")
with gr.Column():
audio_output = gr.Audio(label="Output")
# gr.Examples(examples, fn=inference, inputs=[audio_file, text_input],
# outputs=audio_output, cache_examples=True)
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) |