| 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() | |