Gradio API

app.py

@@ -1,6 +1,6 @@
 """
 Labasni Recommender Service - Hugging Face Space
-✅ Compatible Gradio 5.x avec API externe accessible
+✅ Compatible Gradio 6.x avec API externe accessible
 """
 
 import gradio as gr
@@ -20,55 +20,89 @@ def recommend_outfit_api(clothes_json: str, preference: str, city: str = "Tunis"
         JSON avec l'outfit recommandé
     """
     try:
+        print(f"🔍 Received request - Preference: {preference}, City: {city}")
+        print(f"📦 Clothes data length: {len(clothes_json)} chars")
+        
         clothes_data = json.loads(clothes_json)
+        print(f"✅ Parsed {len(clothes_data)} clothes items")
+        
         result = recommend_outfit_ml(clothes_data, preference, city)
+        print(f"✅ Recommendation generated: {result.get('success', False)}")
+        
         return json.dumps(result, indent=2)
+    except json.JSONDecodeError as e:
+        error_msg = f"Invalid JSON format: {str(e)}"
+        print(f"❌ JSON Error: {error_msg}")
+        return json.dumps({
+            "success": False,
+            "error": error_msg,
+            "message": "Le format JSON des vêtements est invalide"
+        }, indent=2)
     except Exception as e:
+        error_msg = str(e)
+        print(f"❌ Error: {error_msg}")
         return json.dumps({
             "success": False,
-            "error": str(e),
+            "error": error_msg,
             "message": "Erreur lors de la recommandation"
         }, indent=2)
 
-# ✅ CORRECTION PRINCIPALE : Interface Gradio 5.x avec api_name explicite
-iface = 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
-        ),
-        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":"summer","score":0.8},{"id":"bottom1","category":"bottom","style":"casual","color":"blue","season":"summer","score":0.7},{"id":"shoe1","category":"footwear","style":"casual","color":"black","season":"summer","score":0.9}]',
-            "casual",
-            "Tunis"
-        ]
-    ],
-    # ✅ CRUCIAL : Activer l'API externe
-    api_name="recommend_outfit"  # Nom explicite pour l'endpoint
-)
+# ✅ CORRECTION GRADIO 6.x : Utiliser gr.Blocks au lieu de gr.Interface
+with gr.Blocks(title="🎽 Labasni Outfit Recommender") as demo:
+    gr.Markdown("""
+    # 🎽 Labasni Outfit Recommender
+    Recommandations d'outfits basées sur Machine Learning
+    """)
+    
+    with gr.Row():
+        with gr.Column():
+            clothes_input = 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":"summer","score":0.8},{"id":"bottom1","category":"bottom","style":"casual","color":"blue","season":"summer","score":0.7},{"id":"shoe1","category":"footwear","style":"casual","color":"black","season":"summer","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
+            )
+    
+    # ✅ Lier le bouton à la fonction
+    submit_btn.click(
+        fn=recommend_outfit_api,
+        inputs=[clothes_input, preference_input, city_input],
+        outputs=output
+    )
+    
+    gr.Markdown("""
+    ### 📋 Exemple de données
+    ```json
+    [
+      {"id":"top1","category":"top","style":"casual","color":"white","season":"summer","score":0.8},
+      {"id":"bottom1","category":"bottom","style":"casual","color":"blue","season":"summer","score":0.7},
+      {"id":"shoe1","category":"footwear","style":"casual","color":"black","season":"summer","score":0.9}
+    ]
+    ```
+    """)
 
+# ✅ CRUCIAL : Lancer avec l'API activée
 if __name__ == "__main__":
-    # ✅ Lancer avec accès API activé
-    iface.launch(
+    demo.launch(
         server_name="0.0.0.0",
         server_port=7860,
         share=False