refactor : Model load error handling

Project/Backend/Server_Python/controllers/translate_controler.py

+import os
 from fastapi import APIRouter, File, HTTPException, Query,UploadFile
 from pydantic import BaseModel
 import tensorflow as tf
@@ -17,7 +18,16 @@ class ImageRequest(BaseModel):
 
 
 # Load your Keras model
-model = tf.keras.models.load_model('../ML_Models/sign_language_to_text/models/sign_language_model.h5')
+# model = tf.keras.models.load_model('../ML_Models/sign_language_to_text/models/sign_language_model.h5')
+model_file_path = '../ML_Models/sign_language_to_text/models/sign_language_model.h5'
+# Check if the model file exists
+
+if os.path.exists(model_file_path):
+    # Load the Keras model if the file exists
+    model = tf.keras.models.load_model(model_file_path)
+else:
+    model = None
+
 CLASSES = mappings.classes
 NUM_CLASSES = len(mappings.classes)  # number of classes
 IMG_SIZE = 224  # image size