| import gradio as gr | |
| import whisper | |
| def convert_to_text(audio_path: str) -> str: | |
| model = whisper.load_model("base") | |
| result = model.transcribe(audio_path) | |
| return result["text"] | |
| audio_input = gr.inputs.Audio(type="file", label="Upload an Audio") | |
| iface = gr.Interface( | |
| fn=convert_to_text, | |
| inputs=audio_input, | |
| outputs="text", | |
| title="Transform your audio into text", | |
| description="Upload an audio here, either from your mobile or laptop and get it transcribed in a matter of seconds.", | |
| theme="Monochrome" | |
| ) | |
| iface.launch() | |