app.py

import gradio as gr
from transformers import pipeline

# Load the Whisper model for speech recognition
pipe = pipeline("automatic-speech-recognition", model="openai/whisper-small")

# Function to handle the speech recognition
def transcribe_audio(audio):
    # Use the pipeline to transcribe the audio
    result = pipe(audio)["text"]
    return result

# Create a Gradio interface for the audio input and transcription output
interface = gr.Interface(
    fn=transcribe_audio,  # Function that handles the transcription
    inputs=gr.Audio(type="filepath"),  # Input as audio, no need for 'source' argument
    outputs="text",  # Output as text
    title="Whisper Speech Recognition",
    description="Transcribe speech to text using OpenAI's Whisper model."
)

# Launch the Gradio interface
if __name__ == "__main__":
    interface.launch()