import gradio as gr def transcribe(): return "text" def generate_html_css(): return "

Hello world.

\n\n" def process_audio(): transcription = transcribe() html_css = generate_html_css() return transcription, html_css demo = gr.Interface( fn=process_audio, inputs=[], outputs=[ gr.Textbox(label="Transcription"), gr.Textbox(label="Generated HTML/CSS") ], title="Whisper Large V3 + Falcon LLM: Transcribe and Visualize", allow_flagging="never", ) demo.queue().launch()