Update app.py

app.py

@@ -152,7 +152,7 @@ def format_user_context(context_data):
 def home():
     return jsonify({
         "status": "online",
-        "message": "GastroGuard AI Backend is Running (Aggressive Data Mode)!",
+        "message": "GastroGuard AI Backend is Running (Fix Chat Display)!",
         "endpoints": ["/analyze-text", "/analyze-image", "/chat"]
     })
 
@@ -362,9 +362,6 @@ def chat():
     try:
         user_context_str = format_user_context(user_context)
         
-        # --- PERBAIKAN LOGIKA CHAT ---
-        # Prompt ini memaksa AI untuk "EXTRACT DATA" jika ada nama makanan
-        # meskipun user menggunakan kata "mau" (intent).
         prompt_content = f"""
 ROLE: GastroGuard AI (Health & Nutrition Expert).
 CONTEXT: {user_context_str}
@@ -375,7 +372,6 @@ MANDATORY INSTRUCTIONS:
    - YOU MUST ESTIMATE THE NUTRITION FACTS in 'data_makanan'.
    - DO NOT leave calorie values as 0.
    - FILL 'nama_menu' with the specific food name.
-   - IGNORE verbs like "want to" or "planning to". If food is named, DATA IS REQUIRED.
 2. If no food is mentioned (e.g., "Hello", "My stomach hurts"), keep nutrition 0.
 3. RETURN JSON ONLY.
 
@@ -384,7 +380,7 @@ OUTPUT JSON SCHEMA:
   "analisis_emosi": {{ "status": "Neutral", "indikator": "text" }},
   "chat_response": "Your friendly answer here.",
   "data_makanan": {{
-    "nama_menu": "Food Name (or empty)", 
+    "nama_menu": "Food Name", 
     "estimasi_berat": "e.g. 1 serving",
     "nutrisi": {{ 
       "kalori": 0, "protein": 0, "karbohidrat": 0, "lemak_total": 0 
@@ -398,7 +394,7 @@ OUTPUT JSON SCHEMA:
             contents=prompt_content,
             config=types.GenerateContentConfig(
                 response_mime_type="application/json",
-                temperature=0.3 # Temperature rendah = patuh instruksi
+                temperature=0.3
             )
         )
         
@@ -408,21 +404,27 @@ OUTPUT JSON SCHEMA:
         food_data = result.get("data_makanan", {})
         nutrisi = food_data.get("nutrisi", {})
         
-        # --- PYTHON LOGIC FIX ---
-        # Pastikan kalori dianggap angka (bukan string) untuk pengecekan
+        # --- FIX LOGIKA DISPLAY (AGAR PASTI MUNCUL) ---
+        
+        # Kita ambil nilai kalori, pastikan jadi angka, jika gagal set 0
         try:
             cal_val = float(nutrisi.get("kalori", 0))
-        except:
+        except (ValueError, TypeError):
             cal_val = 0
-
-        # Jika ada nama menu DAN kalori > 0, tempelkan teks nutrisi
-        if food_data.get("nama_menu") and cal_val > 0:
-             nutrition_text = f"\n\n📊 **{food_data.get('nama_menu')} Info:**\n🔥 {cal_val} kcal | 🥩 P: {nutrisi.get('protein', 0)}g | 🍞 C: {nutrisi.get('karbohidrat', 0)}g | 🥑 F: {nutrisi.get('lemak_total', 0)}g"
+            
+        # Kita ambil nama menu
+        menu_name = food_data.get("nama_menu")
+        
+        # LOGIKA: Kalau kalori > 0, KITA PAKSA TEMPEL STRING.
+        # Tidak peduli 'nama_menu' kosong atau tidak (biasanya AI isi nama menu).
+        if cal_val > 0:
+             display_name = menu_name if menu_name else "Food"
+             nutrition_text = f"\n\n📊 **{display_name} Info:**\n🔥 {int(cal_val)} kcal | 🥩 P: {nutrisi.get('protein', 0)}g | 🍞 C: {nutrisi.get('karbohidrat', 0)}g | 🥑 F: {nutrisi.get('lemak_total', 0)}g"
              final_reply += nutrition_text
 
         mapped_result = {
             "reply": final_reply,
-            "food_name": food_data.get("nama_menu"),
+            "food_name": menu_name,
             "calories": cal_val,
             "protein": nutrisi.get("protein", 0),
             "carbs": nutrisi.get("karbohidrat", 0),