Spaces:
Running
on
Zero
Running
on
Zero
import gradio as gr | |
from transformers import pipeline | |
import spaces | |
# Load the Whisper model from Hugging Face | |
model = pipeline("automatic-speech-recognition", model="ylacombe/whisper-large-v3-turbo", chunk_length_s=30, device=0) | |
# Function to process audio input and transcribe it | |
def transcribe(audio): | |
# Load and preprocess the audio | |
transcription = model(audio,batch_size=1000, generate_kwargs={"task": "transcribe"}, return_timestamps=True)["text"] | |
return transcription | |
# Gradio interface | |
interface = gr.Interface( | |
fn=transcribe, | |
inputs=gr.Audio(sources="microphone", type="filepath"), | |
outputs="text", | |
title="Whisper Voice Transcription with Hugging Face" | |
) | |
# Launch the app | |
interface.launch() | |