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import gradio as gr
from pyscript import Transcriptor
demo = gr.Blocks()
transcriptor = Transcriptor(model_size="large-v3-turbo")
microphone_transcribe = gr.Interface(
fn=transcriptor.transcribe_audio,
inputs=[
gr.Audio(sources="microphone", type="filepath", label="Microphone"),
gr.Radio([True, False], value=True, label="Enable audio enhancement"),
],
outputs=[
gr.Textbox(label="Transcription"),
# gr.File(label="Download Transcription"),
# gr.Textbox(label="Console Output", lines=10)
],
title="Audio-Transcription leveraging Whisper Model",
description=(
"Transcribe microphone recording or audio inputs and return the transcription with speaker diarization."
),
allow_flagging="never",
)
file_transcribe = gr.Interface(
fn=transcriptor.transcribe_audio,
inputs=[
gr.Audio(sources="upload", type="filepath", label="Audio file"),
gr.Radio([True, False], value=True, label="Enable audio enhancement"),
],
outputs=[
gr.Textbox(label="Transcription"),
# gr.File(label="Download Transcription"),
# gr.Textbox(label="Console Output", lines=10)
],
title="Audio-Transcription leveraging Whisper Model",
description=(
"Transcribe microphone recording or audio inputs and return the transcription with speaker diarization."
),
allow_flagging="never",
)
with demo:
gr.TabbedInterface([microphone_transcribe, file_transcribe], ["Microphone", "Audio file"])
demo.queue().launch()
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