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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!", | |
cache_examples=False | |
) | |
stt_demo = gr.load( | |
"huggingface/facebook/wav2vec2-base-960h", | |
title=None, | |
inputs="mic", | |
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() | |