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from transformers import pipeline
model_id = "arham061/distilhubert-finetuned-RHD_Dataset"
pipe = pipeline("audio-classification", model=model_id)
def classify_audio(filepath):
preds = pipe(filepath)
outputs = {}
for p in preds:
outputs[p["label"]] = p["score"]
return outputs
import gradio as gr
demo = gr.Interface(
fn=classify_audio, inputs=gr.Audio(type="filepath"), outputs="label", examples = ['normal.wav', 'murmur.wav']
)
demo.launch(debug=True) |