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import gradio as gr | |
this_Markdown1=( | |
"""** | |
<h3>text to Speech</h3> | |
<h5>text to Speech</h5> | |
Give me something to say! | |
""") | |
this_Markdown2=( | |
"""** | |
say something and i will write it! | |
""") | |
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=this_Markdown1, | |
) | |
stt_demo = gr.load( | |
"huggingface/facebook/wav2vec2-base-960h", | |
title=None, | |
inputs="mic", | |
description=this_Markdown2, | |
) | |
gr.api_name="additionss" | |
demo = gr.TabbedInterface([tts_demo, stt_demo], ["Text-to-speech", "Speech-to-text"])##,css=".gradio-container {background-color: black}") | |
if __name__ == "__main__": | |
demo.launch() | |