diff --git a/models/app.py b/models/app.py
index cfacb75..db271c0 100644
--- a/models/app.py
+++ b/models/app.py
@@ -1,10 +1,17 @@
+# For executing: python3 app.py /path/to/file
 # Import libraries
 from PIL import Image, UnidentifiedImageError
 from transformers import ViTImageProcessor, ViTForImageClassification
+import sys
 
 # Specify the local directory where the model files are stored
 local_model_path = '/home/overnion/Status200/models/pretrained'
 
+# Check if the image path is provided
+if len(sys.argv) < 2:
+    print("Error: No image path provided. Please provide the path to the image as an argument.")
+    exit()
+
 # Load the image processor and model from the local directory
 image_processor = ViTImageProcessor.from_pretrained(local_model_path)
 model = ViTForImageClassification.from_pretrained(
@@ -13,10 +20,11 @@ model = ViTForImageClassification.from_pretrained(
 )
 
 # Load image
+image_path = sys.argv[1]  # Get the image path from command line arguments
 try:
-    image = Image.open('/home/overnion/Status200/models/samples/apple.png')
+    image = Image.open(image_path)
     # Convert the image to RGB if it's not already
-    if (image.mode != 'RGB'):
+    if image.mode != 'RGB':
         image = image.convert('RGB')
 except FileNotFoundError:
     print("Error: Image file not found.")
@@ -37,5 +45,5 @@ logits = outputs.logits
 predicted_class_idx = logits.argmax(-1).item()
 
 # Print the predicted class
-print("Predicted class:", model.config.id2label[predicted_class_idx])
+print(model.config.id2label[predicted_class_idx])