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import gradio as gr
tts_examples = [
"I love learning machine learning",
"How do you do?",
]
tts_demo = gr.load(
"huggingface/facebook/fastspeech2-en-ljspeech",
title=None,
examples=tts_examples,
description="Give me something to say!",
)
stt_demo = gr.load(
"huggingface/facebook/wav2vec2-base-960h",
title=None,
inputs=gr.Microphone(type="filepath"),
description="Let me try to guess what you're saying!",
)
demo = gr.TabbedInterface([tts_demo, stt_demo], ["Text-to-speech", "Speech-to-text"])
if __name__ == "__main__":
demo.launch()