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# Gradio demo
import gradio as gr
from model import speech_to_speech_translation
demo = gr.Blocks()
mic_translate = gr.Interface(
fn=speech_to_speech_translation,
inputs=gr.Audio(sources=["microphone"], type="filepath"),
outputs=gr.Audio(label="Generated Speech", type="numpy"),
)
file_translate = gr.Interface(
fn=speech_to_speech_translation,
inputs=gr.Audio(sources=["upload"], type="filepath"),
outputs=gr.Audio(label="Generated Speech", type="numpy"),
)
with demo:
gr.TabbedInterface([mic_translate, file_translate], ["Microphone", "Audio File"])
demo.launch(debug=True, share=True) |