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| import gradio as gr | |
| def transcribe(): | |
| return "text" | |
| def generate_html_css(): | |
| return "<p style=\"font-size: 16px;\">Hello world.</p>\n\n<style>\nbody {\n font-size: 16px;\n}</style>" | |
| 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() | |