| import gradio as gr | |
| from transformers import pipeline | |
| # Load pipeline from your HF Hub repo | |
| classifier = pipeline("text-classification", model="itserphan/sms-spam-detector") | |
| def classify_sms(text): | |
| result = classifier(text)[0] | |
| label = result['label'] | |
| score = round(result['score'], 3) | |
| return f"Prediction: {label} (confidence: {score})" | |
| demo = gr.Interface( | |
| fn=classify_sms, | |
| inputs=gr.Textbox(lines=2, placeholder="Type your SMS message here..."), | |
| outputs="text", | |
| title="📩 SMS Spam Detector", | |
| description="Detects whether an SMS is spam or not using DistilBERT." | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() |