Update app.py

app.py

@@ -163,7 +163,7 @@ if os.path.exists(fhe_dir):
     
 final_model = ConcreteXGBClassifier(n_bits=8, **best_params, random_state=42)
 final_model.fit(Xtr_sel, ytr_e)
-final_model.compile(Xtr_sel[:4])
+final_model.compile(Xtr_sel[:1])
 
 dev = FHEModelDev(path_dir=fhe_dir, model=final_model)
 dev.save()
@@ -197,7 +197,6 @@ def generate_keys():
 
 
 
-
 def encrypt_excel(file):
     global encrypted_input
     if client is None:
@@ -205,7 +204,7 @@ def encrypt_excel(file):
     
     df = pd.read_excel(file.name, header=None).set_index(0).T.reset_index(drop=True)
     
-    # 🔧 Güçlendirilmiş temizlik işlemleri
+    #  Temizlik işlemleri
     df.columns = df.columns.str.strip()
     df = df.loc[:, ~df.columns.duplicated()]
     df.rename(columns={"Desc": "Periyot"}, inplace=True)
@@ -214,12 +213,19 @@ def encrypt_excel(file):
 
     enriched = compute_ratios(df)
     X_input = enriched[COLS].dropna()
-    print("📐 Şifreleme öncesi shape:", X_input.shape)
+    print(" Şifreleme öncesi shape:", X_input.shape)
 
     scaled = scaler_sel.transform(X_input)
 
-    encrypted_input = client.quantize_encrypt_serialize(scaled)
-    return str(encrypted_input[:120]) + "..."
+    #  Her satırı ayrı ayrı şifrele
+    encrypted_list = []
+    for row in scaled:
+        row = row.reshape(1, -1)
+        encrypted = client.quantize_encrypt_serialize(row)
+        encrypted_list.append(encrypted)
+
+    encrypted_input = encrypted_list
+    return f"{len(encrypted_input)} adet satır şifrelendi."
 
 
 
@@ -232,15 +238,29 @@ def run_fhe():
     server.load()
     
     eval_keys = client.get_serialized_evaluation_keys()
-    encrypted_output = server.run(encrypted_input, eval_keys)
-    return "Tahmin tamamlandı."
+    encrypted_result = []
+
+    for enc in encrypted_input:
+        result = server.run(enc, eval_keys)
+        encrypted_result.append(result)
+
+    encrypted_output = encrypted_result
+    return f"{len(encrypted_output)} satır için tahmin tamamlandı."
+
+
     
 
 def decrypt_result():
     if encrypted_output is None:
         raise gr.Error("Henüz tahmin yapılmadı.")
-    prediction = client.deserialize_decrypt_dequantize(encrypted_output)
-    return encoder.inverse_transform([int(prediction[0])])[0]
+    
+    predictions = []
+    for enc in encrypted_output:
+        pred = client.deserialize_decrypt_dequantize(enc)
+        label = encoder.inverse_transform([int(pred[0])])[0]
+        predictions.append(label)
+
+    return "\n".join(f"{i+1}. {label}" for i, label in enumerate(predictions))