Update app.py

app.py

@@ -19,10 +19,11 @@ IMG_SIZE = (224, 224)
 
 os.makedirs(UPLOAD_FOLDER, exist_ok=True)
 MODEL = None
+LOAD_ERROR = None  # Store the specific reason for failure
 
 # -------------------- LOAD MODEL --------------------
 def init_model():
-    global MODEL
+    global MODEL, LOAD_ERROR
     if os.path.exists(MODEL_FILE):
         print(f"[INIT] Model found: {MODEL_FILE}")
         try:
@@ -30,6 +31,7 @@ def init_model():
             print("[INIT] Model loaded successfully.")
         except Exception as e:
             print(f"[ERROR] Failed to load model: {e}")
+            LOAD_ERROR = str(e) # Capture the actual error message
             MODEL = None
     else:
         print(f"[ERROR] Model file '{MODEL_FILE}' NOT FOUND on server.")
@@ -79,9 +81,11 @@ def analyze():
                     "color": "rose", "icon": "alert-octagon"
                 })
             else:
+                # Use the captured specific error message
+                error_msg = LOAD_ERROR if LOAD_ERROR else "Unknown internal error"
                 return jsonify({
                     "diagnosis": "Load Error",
-                    "description": "Model file exists but failed to load. Check TensorFlow version.",
+                    "description": f"Error: {error_msg}", 
                     "confidence": "0%",
                     "color": "rose", "icon": "alert-octagon"
                 })