Update app.py

app.py

@@ -161,6 +161,59 @@ def predict_fraud(transaction: Transaction):
     except Exception as e:
         raise HTTPException(status_code=500, detail=f"Erreur interne: {str(e)}")
 
+#if __name__ == "__main__":
+    # import uvicorn
+    # uvicorn.run(app, host="0.0.0.0", port=7860)
 if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+    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()
+
+    # 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()