app.py

import gradio as gr
MODEL_NAME = "leenag/Mal_ASR_Whisper_small_imasc_1000"

demo = gr.load(model = MODEL_NAME,
               examples = [["./sample1.wav", "transcribe", False],
                          ],
               description=("Transcribe microphone or audio inputs with the click of a button! This demo uses the "f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"" of arbitrary length."
                           ),
              )

demo.launch()