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import gradio as gr |
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title = "FastSpeech2" |
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description = "Gradio Demo for fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit. To use it, simply add your text, or click one of the examples to load them. Read more at the links below." |
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2109.06912' target='_blank'>fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit</a> | <a href='https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis' target='_blank'>Github Repo</a></p>" |
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examples = [ |
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["Hello this is a test run","fastspeech2-en-200_speaker-cv4"] |
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] |
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io1 = gr.Interface.load("huggingface/facebook/fastspeech2-en-200_speaker-cv4") |
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io2 = gr.Interface.load("huggingface/facebook/fastspeech2-en-ljspeech") |
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def inference(text): |
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audio = io1(text) |
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return audio |
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gr.Interface( |
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inference, |
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gr.inputs.Textbox(label="Input", lines=10), |
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gr.outputs.Audio(label="Output"), |
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examples=examples, |
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article=article, |
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title=title, |
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description=description).launch(enable_queue=True) |
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