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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) |