import gradio as gr
import librosa
from asr import transcribe_auto, ASR_EXAMPLES, ASR_NOTE  # Modify transcribe_auto to auto-detect language

# Speech-to-Text Interface without language selection
mms_transcribe = gr.Interface(
    fn=transcribe_auto,  # Function that automatically detects language
    inputs=gr.Audio(),
    outputs="text",
    examples=ASR_EXAMPLES,
    title="Speech-to-Text",
    description="Automatically transcribes audio in either English or Swahili.",
    article=ASR_NOTE,
    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>Automatically convert speech to text in English or Swahili.</center>")

    mms_transcribe.render()

if __name__ == "__main__":
    demo.queue()
    demo.launch()