Update backend/api.py

backend/api.py

@@ -3,7 +3,7 @@ from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
 from transformers import AutoTokenizer
 import onnxruntime as ort
-import numpy as np # Digunakan untuk operasi tensor ONNX
+import numpy as np 
 from pathlib import Path
 import traceback
 
@@ -24,12 +24,10 @@ BASE_DIR = Path(__file__).resolve().parent
 # PASTIKAN PATH INI SESUAI DENGAN REPOSITORI ANDA
 MODEL_PATH = BASE_DIR / "models" / "bert_chatbot.onnx"
 TOKENIZER_PATH = BASE_DIR / "models" / "bert-base-multilingual-cased" 
-# DATASET_PATH dan df_jawaban DIHAPUS
 
 # === Global Variables ===
 tokenizer = None
 session = None
-# Hapus: df_jawaban = None
 
 # === Load tokenizer dan model ===
 try:
@@ -38,18 +36,14 @@ try:
     tokenizer = AutoTokenizer.from_pretrained(str(TOKENIZER_PATH))
     session = ort.InferenceSession(str(MODEL_PATH), providers=["CPUExecutionProvider"])
     
-    # Hapus logika pemuatan Excel
-    # df_jawaban = pd.read_excel(DATASET_PATH) <-- DIHAPUS
-    
     print("✅ ONNX model loaded!")
 
 except Exception as e:
-    # Log ini akan muncul jika ada masalah Path/File saat startup
     print("--------------------------------------------------")
     print(f"❌ FATAL ERROR SAAT MEMUAT ONNX/SUMBER DAYA: {e}")
     traceback.print_exc()
     print("--------------------------------------------------")
-    # Biarkan session = None jika ada error
+    pass
 
 # === Default responses ===
 responses = {
@@ -72,6 +66,9 @@ async def root():
 
 @app.post("/chatbot")
 async def chatbot(req: ChatRequest):
+    # ⭐ PERBAIKAN: Deklarasikan 'intent' di luar blok try agar bisa diakses di 'except'
+    intent = "fallback" 
+    
     if session is None:
         return {"reply": responses["fallback"], "intent": "error_loading"}
         
@@ -85,7 +82,6 @@ async def chatbot(req: ChatRequest):
 
         for name in input_names:
             if name in inputs:
-                # Memastikan tipe int64
                 ort_inputs[name] = inputs[name].astype(np.int64) 
 
         # 3. Inferensi ONNX
@@ -97,16 +93,14 @@ async def chatbot(req: ChatRequest):
         
         # === Mapping ID ke label ===
         id2label = {
-            0: "greeting",    # <-- GANTI INI
-            1: "about_me",    # <-- GANTI INI
-            2: "skills", 
-            3: "projects", 
-            4: "experience",
-            5: "career_goal",
-            6: "fallback"     # <-- TAMBAHKAN FALLBACK DI SINI
+            0: "greeting", 1: "about_me", 2: "skills", 3: "projects", 
+            4: "experience", 5: "career_goal", 6: "fallback", # <--- Gunakan semua intent Anda
         }
+        
+        # Nilai 'intent' yang benar disimpan di sini
+        intent = id2label.get(pred_id, "fallback")
+        
         # === Ambil jawaban ===
-        # Respon diambil dari dictionary responses global
         reply = responses.get(intent, responses["fallback"])
                     
         return {"reply": str(reply), "intent": intent}
@@ -115,4 +109,5 @@ async def chatbot(req: ChatRequest):
         import traceback
         print(f"❌ Runtime error in /chatbot: {e}")
         traceback.print_exc()
-        return {"reply": "⚠️ Internal server error.", "intent": "error"}
+        # Mengembalikan error dengan nilai 'intent' yang dijamin terdefinisi
+        return {"reply": "⚠️ Internal server error.", "intent": intent} # <--- TIDAK AKAN CRASH LAGI