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Create app.py

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  1. app.py +175 -0
app.py ADDED
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+ import tempfile
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+ from typing import Optional
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+ from TTS.config import load_config
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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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+
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+ # Classe estendida para confirmar automaticamente os termos de uso
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+ class CustomModelManager(ModelManager):
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+ def ask_tos(self, output_path):
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+ print("This sentence has been generated by a speech synthesis system. tts_models/multilingual/multi-dataset/xtts_v1.1")
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+ print(" > You must confirm the following:")
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+ print(' | > "I have purchased a commercial license from Coqui: [email protected]"')
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+ print(' | > "Otherwise, I agree to the terms of the non-commercial CPML: https://coqui.ai/cpml" - [y/n]')
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+ answer = 'y' # Automaticamente aceita os termos
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+ return answer.lower() == 'y'
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+
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+ # Substituir o gerenciador padrão pelo personalizado
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+ manager = CustomModelManager()
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+ MODELS = {}
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+ SPEAKERS = {}
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+ MAX_TXT_LEN = 100
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+
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+ MODEL_NAMES = manager.list_tts_models()
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+
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+ # filter out multi-speaker models and slow wavegrad vocoders
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+ filters = ["vctk", "your_tts", "ek1"]
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+ MODEL_NAMES = [model_name for model_name in MODEL_NAMES if not any(f in model_name for f in filters)]
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+
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+ EN = [el for el in MODEL_NAMES if "/en/" in el]
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+ OTHER = [el for el in MODEL_NAMES if "/en/" not in el]
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+ EN[0], EN[5] = EN[5], EN[0]
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+ MODEL_NAMES = EN + OTHER
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+
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+ # reorder models
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+ print(MODEL_NAMES)
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+
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+
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+ def tts(text: str, model_name: str):
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+ if len(text) > MAX_TXT_LEN:
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+ text = text[:MAX_TXT_LEN]
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+ print(f"Input text was cutoff since it went over the {MAX_TXT_LEN} character limit.")
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+ print(text, model_name)
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+ # download model
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+ model_path, config_path, model_item = manager.download_model(model_name)
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+ vocoder_name: Optional[str] = model_item["default_vocoder"]
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+ # download 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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+ # init synthesizer
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+ synthesizer = Synthesizer(
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+ model_path, config_path, None, None, vocoder_path, vocoder_config_path,
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+ )
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+ # synthesize
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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, None)
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+ # return output
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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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+
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+
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+ title = """<h1 align="center">🐸💬 CoquiTTS Playground </h1>"""
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+
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+ with gr.Blocks(analytics_enabled=False) as demo:
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+ with gr.Row():
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+ with gr.Column():
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+ gr.Markdown(
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+ """
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+ ## <img src="https://raw.githubusercontent.com/coqui-ai/TTS/main/images/coqui-log-green-TTS.png" height="56"/>
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+ """
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+ )
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+ gr.Markdown(
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+ """
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+ <br />
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+
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+ ## 🐸Coqui.ai News
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+ - 📣 ⓍTTS, our production TTS model that can speak 13 languages, is released [Blog Post](https://coqui.ai/blog/tts/open_xtts), [Demo](https://huggingface.co/spaces/coqui/xtts), [Docs](https://tts.readthedocs.io/en/dev/models/xtts.html)
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+ - 📣 [🐶Bark](https://github.com/suno-ai/bark) is now available for inference with unconstrained voice cloning. [Docs](https://tts.readthedocs.io/en/dev/models/bark.html)
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+ - 📣 You can use [~1100 Fairseq models](https://github.com/facebookresearch/fairseq/tree/main/examples/mms) with 🐸TTS.
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+ - 📣 🐸TTS now supports 🐢Tortoise with faster inference. [Docs](https://tts.readthedocs.io/en/dev/models/tortoise.html)
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+ - 📣 **Coqui Studio API** is landed on 🐸TTS. - [Example](https://github.com/coqui-ai/TTS/blob/dev/README.md#-python-api)
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+ - 📣 [**Coqui Studio API**](https://docs.coqui.ai/docs) is live.
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+ - 📣 Voice generation with prompts - **Prompt to Voice** - is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin)!! - [Blog Post](https://coqui.ai/blog/tts/prompt-to-voice)
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+ - 📣 Voice generation with fusion - **Voice fusion** - is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin).
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+ - 📣 Voice cloning is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin).
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+ <br>
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+
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+ """
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+ )
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+ with gr.Column():
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+ gr.Markdown(
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+ """
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+ <br/>
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+
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+ 💻 This space showcases some of the **[CoquiTTS](https://github.com/coqui-ai/TTS)** models.
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+
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+ <br/>
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+
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+ There are > 30 languages with single and multi speaker models, all thanks to our 👑 Contributors.
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+
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+ <br/>
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+
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+ Visit the links below for more.
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+
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+ | | |
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+ | ------------------------------- | --------------------------------------- |
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+ | 🐸💬 **CoquiTTS** | [Github](https://github.com/coqui-ai/TTS) |
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+ | 💼 **Documentation** | [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
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+ | 👩‍💻 **Questions** | [GitHub Discussions] |
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+ | 🗯 **Community** | [![Dicord](https://img.shields.io/discord/1037326658807533628?color=%239B59B6&label=chat%20on%20discord)](https://discord.gg/5eXr5seRrv) |
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+
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+ [github issue tracker]: https://github.com/coqui-ai/tts/issues
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+ [github discussions]: https://github.com/coqui-ai/TTS/discussions
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+ [discord]: https://discord.gg/5eXr5seRrv
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+
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+
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+ """
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+ )
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+
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+ with gr.Row():
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+ gr.Markdown(
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+ """
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+ <details>
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+ <summary>👑 Model contributors</summary>
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+
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+ - <a href="https://github.com/nmstoker/" target="_blank">@nmstoker</a>
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+ - <a href="https://github.com/kaiidams/" target="_blank">@kaiidams</a>
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+ - <a href="https://github.com/WeberJulian/" target="_blank">@WeberJulian,</a>
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+ - <a href="https://github.com/Edresson/" target="_blank">@Edresson</a>
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+ - <a href="https://github.com/thorstenMueller/" target="_blank">@thorstenMueller</a>
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+ - <a href="https://github.com/r-dh/" target="_blank">@r-dh</a>
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+ - <a href="https://github.com/kirianguiller/" target="_blank">@kirianguiller</a>
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+ - <a href="https://github.com/robinhad/" target="_blank">@robinhad</a>
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+ - <a href="https://github.com/fkarabiber/" target="_blank">@fkarabiber</a>
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+ - <a href="https://github.com/nicolalandro/" target="_blank">@nicolalandro</a>
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+ - <a href="https://github.com/a-froghyar" target="_blank">@a-froghyar</a>
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+ - <a href="https://github.com/manmay-nakhashi" target="_blank">@manmay-nakhashi</a>
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+ - <a href="https://github.com/noml4u" target="_blank">@noml4u</a>
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+ </details>
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+
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+ <br/>
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+ """
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+ )
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+
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+ with gr.Row():
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+ with gr.Column():
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+ input_text = gr.inputs.Textbox(
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+ label="Input Text",
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+ default="This sentence has been generated by a speech synthesis system.",
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+ )
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+ model_select = gr.inputs.Dropdown(
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+ label="Pick Model: tts_models/<language>/<dataset>/<model_name>",
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+ choices=MODEL_NAMES,
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+ default="tts_models/en/jenny/jenny"
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+ )
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+ tts_button = gr.Button("Send", elem_id="send-btn", visible=True)
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+
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+ with gr.Column():
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+ output_audio = gr.outputs.Audio(label="Output", type="filepath")
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+
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+ tts_button.click(
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+ tts,
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+ inputs=[
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+ input_text,
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+ model_select,
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+ ],
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+ outputs=[output_audio],
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+ )
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+
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+ demo.queue(concurrency_count=16).launch(debug=True)