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import gradio as gr
from asr import transcribe_auto # Import the updated function
# Speech-to-Text Interface
mms_transcribe = gr.Interface(
fn=transcribe_auto,
inputs=gr.Audio(),
outputs="text",
title="Multilingual Speech-to-Text",
description="Automatically detects and transcribes English or Swahili speech.",
allow_flagging="never",
)
# Main Gradio App
with gr.Blocks() as demo:
gr.Markdown("<p align='center' style='font-size: 20px;'>MMS Speech-to-Text</p>")
gr.HTML("<center>Upload or record audio. The model will automatically detect the language (English or Swahili) and transcribe.</center>")
mms_transcribe.render()
if __name__ == "__main__":
demo.queue()
demo.launch()
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