app.py

import gradio as gr
from inference import model  

def predict_intent(text):
    result = model.predict(text)
    return f"Intent: {result['intent']}\nConfidence: {result['confidence']}\nOOS Score: {result['oos_score']:.3f}"

iface = gr.Interface(
    fn=predict_intent,
    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence...", value="Do you know Roger?"),
    outputs="text",
    title="Intent Classifier & OOS Detector",
    description="""
<span style="font-size: 18px;">Type a sentence and get its predicted intent or detect if it's out-of-scope.</span>

Supported intents include (not exhaustive): `weather`, `translate`, `play_music`,...

The output will include:
- The predicted intent (or `"oos"` if out-of-scope),
- The confidence score of the predicted intent (or `None` if out-of-scope),
- The OOS score (higher = more likely to be out-of-scope).

🇬🇧 This model was trained on English-only data.
"""

)

iface.launch()