Amélioration du texte de description et du titre

app.py

@@ -1,16 +1,28 @@
 import gradio as gr
-from inference import model  # Ton modèle préparé dans `inference.py`
+from inference import model  
 
 def predict_intent(text):
     result = model.predict(text)
-    return f"Intent: {result['intent']}\nIs OOS: {result['is_oos']}\nConfidence: {result['confidence']}\nOOS Score: {result['oos_score']:.3f}"
+    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..."),
+    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence...", value="Do you know Roger?"),
     outputs="text",
-    title="Intent & OOS Detector",
-    description="Type a sentence and get its predicted intent or detect if it's out-of-scope."
+    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()

inference.py

@@ -146,6 +146,7 @@ model = IntentClassifierWithOOS(
     device="cpu"
 )
 
-# Test with a sample query
-result = model.predict("Can you play some jazz music?")
-print(result)
+if __name__ == "__main__":
+    # Test with a sample query
+    result = model.predict("Can you play some jazz music?")
+    print(result)