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import tempfile |
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from typing import Optional |
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import gradio as gr |
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import numpy as np |
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from TTS.utils.manage import ModelManager |
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from TTS.utils.synthesizer import Synthesizer |
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MODEL_NAMES = [ |
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"en/ljspeech/tacotron2-DDC", |
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"fr/mai/tacotron2-DDC", |
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"zh-CN/baker/tacotron2-DDC-GST", |
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"nl/mai/tacotron2-DDC", |
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"de/thorsten/tacotron2-DCA", |
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] |
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MODELS = {} |
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manager = ModelManager() |
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for MODEL_NAME in MODEL_NAMES: |
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print(f"downloading {MODEL_NAME}") |
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model_path, config_path, model_item = manager.download_model(f"tts_models/{MODEL_NAME}") |
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vocoder_name: Optional[str] = model_item["default_vocoder"] |
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vocoder_path = None |
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vocoder_config_path = None |
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if vocoder_name is not None: |
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vocoder_path, vocoder_config_path, _ = manager.download_model(vocoder_name) |
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synthesizer = Synthesizer( |
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model_path, config_path, None, vocoder_path, vocoder_config_path, |
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) |
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MODELS[MODEL_NAME] = synthesizer |
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def tts(text: str, model_name: str): |
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print(text, model_name) |
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synthesizer = MODELS.get(model_name, None) |
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if synthesizer is None: |
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raise NameError("model not found") |
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wavs = synthesizer.tts(text) |
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp: |
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synthesizer.save_wav(wavs, fp) |
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return fp.name |
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iface = gr.Interface( |
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fn=tts, |
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inputs=[ |
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gr.inputs.Textbox( |
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label="Input", |
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default="Hello, how are you?", |
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), |
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gr.inputs.Radio( |
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label="Pick a TTS Model", |
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choices=MODEL_NAMES, |
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), |
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], |
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outputs=gr.outputs.Audio(label="Output"), |
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title="🐸💬 - Coqui TTS", |
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theme="huggingface", |
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description="🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production", |
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article="more info at https://github.com/coqui-ai/TTS", |
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) |
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iface.launch() |
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