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Browse files- app.py +23 -0
- requirements.txt +4 -0
app.py
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import gradio as gr
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from transformers import pipeline
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import torch
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# モデルのロード (例: Tacotron2 + WaveGlow)
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synthesizer = pipeline("text-to-speech", "tts_model_name", device=0) # モデル名を指定, GPUを使う場合は device=0
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# 推論関数の定義
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def synthesize_speech(text):
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with torch.no_grad():
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audio = synthesizer(text)
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return (synthesizer.sampling_rate, audio["audio"].numpy())
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# Gradioインターフェースの作成
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iface = gr.Interface(
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fn=synthesize_speech,
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inputs=gr.Textbox(lines=5, label="Input Text"),
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outputs=gr.Audio(label="Output Audio"),
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title="TTS Demo",
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description="Enter text to synthesize speech."
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)
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iface.launch()
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requirements.txt
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gradio
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transformers
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torch
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espnet
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