app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline(task="text-classification", model="hoangthan/bert-vi-sms-classification")

def classify_audio(filepath):
    preds = pipe(filepath)
    outputs = {}
    for p in preds:
        outputs[p["label"]] = p["score"]
    return outputs

gradio_app = gr.Interface(
    fn=classify_audio, inputs=gr.Textbox(), outputs=gr.Label()
)

if __name__ == "__main__":
    gradio_app.launch(debug=True)