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Duplicate from MattGPT/Text-2-Speech

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Co-authored-by: Matthew Wade <MattGPT@users.noreply.huggingface.co>

Files changed (6) hide show
  1. .gitattributes +31 -0
  2. .gitignore +1 -0
  3. README.md +13 -0
  4. app.py +95 -0
  5. requirements.txt +5 -0
  6. setup.cfg +12 -0
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.gitignore ADDED
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+ .idea
README.md ADDED
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+ ---
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+ title: Text-to-Speech
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+ emoji: 💬
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+ colorFrom: blue
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+ colorTo: yellow
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+ sdk: gradio
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+ sdk_version: 3.4
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+ app_file: app.py
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+ pinned: false
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+ duplicated_from: MattGPT/Text-2-Speech
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+ ---
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+
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+ Text-to-Speech interactive demo, using (balacoon_tts)[https://balacoon.com].
app.py ADDED
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+ """
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+ Copyright 2022 Balacoon
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+
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+ TTS interactive demo
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+ """
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+
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+ import logging
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+ from typing import cast
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+
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+ import gradio as gr
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+ from balacoon_tts import TTS
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+ from huggingface_hub import hf_hub_download, list_repo_files
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+
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+ # global tts module, initialized from a model selected
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+ tts = None
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+
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+
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+ def main():
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+ logging.basicConfig(level=logging.INFO)
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+
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+ with gr.Blocks() as demo:
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+ gr.Markdown(
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+ """
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+ <h1 align="center">Text-to-Speech</h1>
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+
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+ 1. Write an utterance to generate,
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+ 2. Select the model to synthesize with
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+ 3. Select the speaker
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+ 4. Hit "Generate" and listen to the result!
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+
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+ When you select a Model for the first time,
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+ it will take a little time to download it.
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+ """
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+ )
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+ with gr.Row(variant="panel"):
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+ text = gr.Textbox(label="Text", placeholder="Insert your article here...")
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+
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+ with gr.Row():
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+ with gr.Column(variant="panel"):
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+ repo_files = list_repo_files(repo_id="balacoon/tts")
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+ model_files = [x for x in repo_files if x.endswith("_cpu.addon")]
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+ model_name = gr.Dropdown(
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+ label="Model",
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+ choices=model_files,
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+ )
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+ with gr.Column(variant="panel"):
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+ speaker = gr.Dropdown(label="Speaker", choices=[])
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+
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+ def set_model(model_name_str: str):
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+ """
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+ gets value from `model_name`, loads model,
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+ re-initializes tts object, gets list of
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+ speakers that model supports and set them to `speaker`
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+ """
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+ model_path = hf_hub_download(
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+ repo_id="balacoon/tts", filename=model_name_str
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+ )
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+ global tts
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+ tts = TTS(model_path)
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+ speakers = tts.get_speakers()
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+ value = speakers[-1]
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+ return gr.Dropdown.update(
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+ choices=speakers, value=value, visible=True
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+ )
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+
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+ model_name.change(set_model, inputs=model_name, outputs=speaker)
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+
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+ with gr.Row(variant="panel"):
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+ generate = gr.Button("Generate")
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+ with gr.Row(variant="panel"):
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+ audio = gr.Audio()
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+
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+ def synthesize_audio(text_str: str, speaker_str: str = ""):
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+ """
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+ gets utterance to synthesize from `text` Textbox
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+ and speaker name from `speaker` dropdown list.
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+ speaker name might be empty for single-speaker models.
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+ Synthesizes the waveform and updates `audio` with it.
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+ """
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+ if not text_str:
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+ logging.info("text or speaker are not provided")
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+ return None
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+ global tts
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+ if len(text_str) > 10024:
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+ text_str = text_str[:10024]
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+ samples = cast(TTS, tts).synthesize(text_str, speaker_str)
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+ return gr.Audio.update(value=(cast(TTS, tts).get_sampling_rate(), samples))
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+
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+ generate.click(synthesize_audio, inputs=[text, speaker], outputs=audio)
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+
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+ demo.launch()
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+
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+
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+ if __name__ == "__main__":
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+ main()
requirements.txt ADDED
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+ --index-url https://pypi.fury.io/balacoon/
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+ --extra-index-url https://pypi.org/simple/
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+ balacoon-tts==0.1.1
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+ huggingface_hub
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+ numpy
setup.cfg ADDED
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+ [flake8]
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+ max_complexity=10
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+ per-file-ignores=__init__.py:F401,F403
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+ ignore = E203,W503
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+ max-line-length=119
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+
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+ [isort]
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+ profile=black
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+ line_length=119
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+
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+ [mypy]
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+ ignore_missing_imports = True