Update app.py

app.py

@@ -164,56 +164,56 @@ def predict_fraud(transaction: Transaction):
 #if __name__ == "__main__":
     # import uvicorn
     # uvicorn.run(app, host="0.0.0.0", port=7860)
-if __name__ == "__main__":
-    import gradio as gr
-    from app import predict_fraud, Transaction  # si tu es déjà dans app.py, inutile de réimporter
+# if __name__ == "__main__":
+#     import gradio as gr
+#     from app import predict_fraud, Transaction  # si tu es déjà dans app.py, inutile de réimporter
 
-    # Wrapper pour adapter les inputs de Gradio au modèle FastAPI
-    def api_predict_wrapper(
-        amt, category, merchant, trans_date_trans_time, gender, state,
-        lat, long, city_pop, dob, merch_lat, merch_long,
-        cc_num=None, avg_amt=50, std_amt=30, nb_trans=10
-    ):
-        tx = Transaction(
-            amt=amt,
-            category=category,
-            merchant=merchant,
-            trans_date_trans_time=trans_date_trans_time,
-            gender=gender,
-            state=state,
-            lat=lat,
-            long=long,
-            city_pop=city_pop,
-            dob=dob,
-            merch_lat=merch_lat,
-            merch_long=merch_long,
-            cc_num=cc_num,
-            avg_amt=avg_amt,
-            std_amt=std_amt,
-            nb_trans=nb_trans
-        )
-        result = predict_fraud(tx)
-        return result.dict()
+#     # Wrapper pour adapter les inputs de Gradio au modèle FastAPI
+#     def api_predict_wrapper(
+#         amt, category, merchant, trans_date_trans_time, gender, state,
+#         lat, long, city_pop, dob, merch_lat, merch_long,
+#         cc_num=None, avg_amt=50, std_amt=30, nb_trans=10
+#     ):
+#         tx = Transaction(
+#             amt=amt,
+#             category=category,
+#             merchant=merchant,
+#             trans_date_trans_time=trans_date_trans_time,
+#             gender=gender,
+#             state=state,
+#             lat=lat,
+#             long=long,
+#             city_pop=city_pop,
+#             dob=dob,
+#             merch_lat=merch_lat,
+#             merch_long=merch_long,
+#             cc_num=cc_num,
+#             avg_amt=avg_amt,
+#             std_amt=std_amt,
+#             nb_trans=nb_trans
+#         )
+#         result = predict_fraud(tx)
+#         return result.dict()
 
-    # Définition de l'interface Gradio
-    iface = gr.Interface(
-        fn=api_predict_wrapper,
-        inputs=[
-            gr.Number(label="Montant"),
-            gr.Textbox(label="Catégorie"),
-            gr.Textbox(label="Marchand"),
-            gr.Textbox(label="Date/Heure"),
-            gr.Textbox(label="Genre"),
-            gr.Textbox(label="État"),
-            gr.Number(label="Latitude"),
-            gr.Number(label="Longitude"),
-            gr.Number(label="Population ville"),
-            gr.Textbox(label="Date de naissance"),
-            gr.Number(label="Lat march."),
-            gr.Number(label="Long march."),
-        ],
-        outputs=gr.JSON(label="Résultat")
-    )
+#     # Définition de l'interface Gradio
+#     iface = gr.Interface(
+#         fn=api_predict_wrapper,
+#         inputs=[
+#             gr.Number(label="Montant"),
+#             gr.Textbox(label="Catégorie"),
+#             gr.Textbox(label="Marchand"),
+#             gr.Textbox(label="Date/Heure"),
+#             gr.Textbox(label="Genre"),
+#             gr.Textbox(label="État"),
+#             gr.Number(label="Latitude"),
+#             gr.Number(label="Longitude"),
+#             gr.Number(label="Population ville"),
+#             gr.Textbox(label="Date de naissance"),
+#             gr.Number(label="Lat march."),
+#             gr.Number(label="Long march."),
+#         ],
+#         outputs=gr.JSON(label="Résultat")
+#     )
 
-    # Lancement du front Gradio
-    iface.launch()
+#     # Lancement du front Gradio
+#     iface.launch()