import gradio as gr
from transformers import pipeline

pipeline = pipeline(model="openai/whisper-medium.en")

def transcribe(file):
    options = dict(task="transcribe", best_of=5)
    text = model.transcribe(file, **options)["text"]
    return text.strip()

block = gr.Blocks()

with block:
    with gr.Group():
        audio = gr.Audio(
            show_label=False,
            source="microphone",
            type="filepath"
        )
        with gr.Box():
            with gr.Row().style(equal_height=True):
                transcribe_button = gr.Button("Transcribe")
        
        textbox = gr.Textbox(show_label=False)
        
        transcribe_button.click(transcribe, inputs=[audio], outputs=[textbox])
 
block.launch(share=True)