app.py

import gradio as gr
from transformers import pipeline

# Use a pipeline for automatic speech recognition
asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-small")

# Define the transcription function
def transcribe_audio(audio_file):
    # Ensure a file was uploaded
    if audio_file is None:
        return "Please upload an audio file."
    
    # Transcribe the audio
    transcription = asr_pipe(audio_file)["text"]
    return transcription

# Create the Gradio interface
iface = gr.Interface(
    fn=transcribe_audio,
    inputs=gr.Audio(type="filepath", label="Upload an audio file"),
    outputs="text",
    title="Whisper Small ASR",
    description="A public Hugging Face Space for Automatic Speech Recognition using the OpenAI Whisper Small model."
)

# This line needs to be updated to generate a public URL
iface.launch(share=True)