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Labasni Recommender Service - Hugging Face Space
✅ Compatible Gradio 6.x avec API REST forcée
"""
import gradio as gr
import json
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
"""
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": error_msg,
"message": "Erreur lors de la recommandation"
}, indent=2)
# ✅ 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
demo.launch(
server_name="0.0.0.0",
server_port=7860,
share=False
)
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