File size: 501 Bytes
dbeafa0 cdc692d dbeafa0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
import gradio as gr
from transformers import pipeline
# Load model
classifier = pipeline("audio-classification", model="Hnin/Audio_Classification_On_Key_spotting")
def predict(audio):
preds = classifier(audio)
return {p["label"]: p["score"] for p in preds}
# Gradio UI
gr.Interface(
fn=predict,
inputs=gr.Audio(source="microphone", type="filepath"),
outputs=gr.Label(num_top_classes=3),
title="🔊 Keyword Spotting",
examples=["example1.wav", "example2.wav"]
).launch() |