bryandts's picture
Create app.py
23dcb77 verified
raw
history blame
481 Bytes
from transformers import pipeline
import gradio as gr
pipe = pipeline(model="bryandts/whisper-base-en-india-accent-svarah")
def transcribe(audio):
text = pipe(audio)["text"]
return text
iface = gr.Interface(
fn=transcribe,
inputs=gr.Audio(source="microphone", type="filepath"),
outputs="text",
title="Whisper Base English",
description="Realtime India-accented English speech recognition using a fine-tuned Whisper base model.",
)
iface.launch()