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import gradio as gr
from asr import transcribe, ASR_EXAMPLES
mms_select_source_trans = gr.Radio(
["Record from Mic", "Upload audio"],
label="Audio input",
value="Record from Mic",
)
mms_mic_source_trans = gr.Audio(
sources=["microphone"], type="filepath", label="Use mic"
)
mms_upload_source_trans = gr.Audio(
sources=["upload"], type="filepath", label="Upload file", visible=False
)
mms_transcribe = gr.Interface(
fn=transcribe,
inputs=[
gr.Dropdown(
[
"original",
"finetune",
],
label="Model",
value="finetune",
),
mms_select_source_trans,
mms_mic_source_trans,
mms_upload_source_trans,
],
outputs="text",
examples=ASR_EXAMPLES,
title="Auto Speech Recognition Demo",
description=(
"Transcribe audio from a microphone or input file in your desired language."
),
allow_flagging="never",
)
with gr.Blocks() as demo:
mms_transcribe.render()
mms_select_source_trans.change(
lambda x: [
gr.update(visible=True if x == "Record from Mic" else False),
gr.update(visible=True if x == "Upload audio" else False),
],
inputs=[mms_select_source_trans],
outputs=[mms_mic_source_trans, mms_upload_source_trans],
queue=False,
)
demo.launch()
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