app.py

import torch
import gradio as gr
from transformers import pipeline

model_id = "openai/whisper-large"  # Using the model you provided
pipe = pipeline("automatic-speech-recognition", model=model_id)

title = "Automatic Speech Recognition"
description = """
"""

def transcribe_speech(filepath):
    output = pipe(
        filepath,
        generate_kwargs={
            "task": "transcribe",
            "language": "english",  # Set to English
        },  
    )
    return output["text"]

file_transcribe = gr.Interface(
    fn=transcribe_speech,
    inputs=gr.Audio(source="upload", type="filepath"),
    outputs=gr.outputs.Textbox(),
    examples=[["./example.wav"]],
    title=title,
    description=description,
)

file_transcribe.launch()