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import gradio as gr
import whisper
# Load the Whisper model (you can change to "base", "small", "medium", etc.)
model = whisper.load_model("base")
# Function to process the audio file and transcribe
def transcribe_audio(audio):
# Transcribe the audio using Whisper
result = model.transcribe(audio)
return result['text']
# Create a Gradio interface for audio transcription
iface = gr.Interface(
fn=transcribe_audio, # The function that will process the audio
inputs=gr.Audio(source="upload", type="filepath"), # Upload audio input
outputs="text", # Output transcription as text
title="Whisper Audio Transcription", # Title of the interface
description="Upload an audio file and get the transcription using OpenAI's Whisper model." # Description
)
# Launch the interface
iface.launch()
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