fix: Remove allow_flagging parameter for Gradio 6.x compatibility

app.py

@@ -1,6 +1,6 @@
 """
 Labasni Recommender Service - Hugging Face Space
-✅ Compatible Gradio 6.x avec API REST accessible via /api/predict
+✅ Compatible Gradio 6.x avec API REST forcée
 """
 
 import gradio as gr
@@ -10,14 +10,6 @@ from recommender_model import recommend_outfit_ml
 def recommend_outfit_api(clothes_json: str, preference: str, city: str = "Tunis"):
     """
     API endpoint pour les recommandations d'outfit
-    
-    Args:
-        clothes_json: JSON string contenant la liste des vêtements
-        preference: Style préféré (casual, formal, sport)
-        city: Ville pour la météo
-    
-    Returns:
-        JSON avec l'outfit recommandé
     """
     try:
         print(f"🔍 Received request - Preference: {preference}, City: {city}")
@@ -47,47 +39,58 @@ def recommend_outfit_api(clothes_json: str, preference: str, city: str = "Tunis"
             "message": "Erreur lors de la recommandation"
         }, indent=2)
 
-# ✅ SOLUTION FINALE : gr.Interface SANS allow_flagging
-demo = gr.Interface(
-    fn=recommend_outfit_api,
-    inputs=[
-        gr.Textbox(
-            label="Clothes Data (JSON)",
-            placeholder='[{"id":"top1","category":"top","style":"casual","color":"white","season":"summer","score":0.5}]',
-            lines=10,
-            value='[{"id":"top1","category":"top","style":"casual","color":"white","season":"all","score":0.8},{"id":"bottom1","category":"bottom","style":"casual","color":"blue","season":"all","score":0.7},{"id":"shoe1","category":"footwear","style":"casual","color":"black","season":"all","score":0.9}]'
-        ),
-        gr.Dropdown(
-            choices=["casual", "formal", "sport", "chic", "elegant"],
-            label="Preference",
-            value="casual"
-        ),
-        gr.Textbox(
-            label="City",
-            value="Tunis"
-        )
-    ],
-    outputs=gr.Textbox(
-        label="Recommended Outfit (JSON)",
-        lines=15
-    ),
-    title="🎽 Labasni Outfit Recommender",
-    description="Recommandations d'outfits basées sur ML (TensorFlow + PyTorch)",
-    examples=[
-        [
-            '[{"id":"top1","category":"top","style":"casual","color":"white","season":"all","score":0.8},{"id":"bottom1","category":"bottom","style":"casual","color":"blue","season":"all","score":0.7},{"id":"shoe1","category":"footwear","style":"casual","color":"black","season":"all","score":0.9}]',
-            "casual",
-            "Tunis"
-        ]
-    ],
-    api_name="predict"
-    # ❌ SUPPRIMÉ : allow_flagging="never" (cause l'erreur TypeError en Gradio 6.x)
-)
+# ✅ Version avec gr.Blocks pour plus de contrôle sur l'API
+with gr.Blocks() as demo:
+    gr.Markdown("# 🎽 Labasni Outfit Recommender")
+    gr.Markdown("Recommandations d'outfits basées sur ML")
+    
+    with gr.Row():
+        with gr.Column():
+            clothes_input = gr.Textbox(
+                label="Clothes Data (JSON)",
+                placeholder='[{"id":"top1","category":"top",...}]',
+                lines=10,
+                value='[{"id":"top1","category":"top","style":"casual","color":"white","season":"all","score":0.8},{"id":"bottom1","category":"bottom","style":"casual","color":"blue","season":"all","score":0.7},{"id":"shoe1","category":"footwear","style":"casual","color":"black","season":"all","score":0.9}]'
+            )
+            preference_input = gr.Dropdown(
+                choices=["casual", "formal", "sport", "chic", "elegant"],
+                label="Preference",
+                value="casual"
+            )
+            city_input = gr.Textbox(label="City", value="Tunis")
+            submit_btn = gr.Button("Get Recommendation", variant="primary")
+        
+        with gr.Column():
+            output = gr.Textbox(
+                label="Recommended Outfit (JSON)",
+                lines=15
+            )
+    
+    # Exemples
+    gr.Examples(
+        examples=[
+            [
+                '[{"id":"top1","category":"top","style":"casual","color":"white","season":"all","score":0.8},{"id":"bottom1","category":"bottom","style":"casual","color":"blue","season":"all","score":0.7},{"id":"shoe1","category":"footwear","style":"casual","color":"black","season":"all","score":0.9}]',
+                "casual",
+                "Tunis"
+            ]
+        ],
+        inputs=[clothes_input, preference_input, city_input]
+    )
+    
+    # Event handler
+    submit_btn.click(
+        fn=recommend_outfit_api,
+        inputs=[clothes_input, preference_input, city_input],
+        outputs=output,
+        api_name="predict"  # ✅ Force le nom de l'API
+    )
 
 if __name__ == "__main__":
-    # ✅ Lancer avec l'API activée
+    # ✅ Lancer avec l'API activée explicitement
     demo.launch(
         server_name="0.0.0.0",
         server_port=7860,
-        share=False
+        share=False,
+        show_api=True  # ✅ Force l'affichage de l'API
     )