app.py

import gradio as gr
from deepgram_transcribe import process

def process_submit(title, file, tag, progress=gr.Progress()):
    progress(0, desc="Starting...")
    zip_folder_path = process(file, tag, progress)
    return zip_folder_path

textbox = gr.Textbox(
            label="TAGS",
            info="Examples: DG, vogue, etc.",
            lines=1,
            value="DG",
        )

file_output = gr.File()

title = gr.Markdown(
    """
    # Playground
    Upload your audio file here.
    """)

gr.Interface(fn=process_submit, inputs=[title, file_output, textbox], outputs="file", allow_flagging="never").launch()