Final

app.py

@@ -50,6 +50,19 @@ food_info = {
     }
 }
 
+title = "Foodie 🍕"
+description = " Image classification model capable of accurately predicting 10 different foods."
+article = "Can predict the following 10 classes: Breakfast Burrito, Caesar Salad, Chicken Quesadilla, Club Sandwich, Donuts, Fish And Chips, Hamburger, Pizza, Samosa and Waffles."
+
+import os
+
+folder_path = "Images" 
+example_list = []
+if os.path.exists(folder_path) and os.path.isdir(folder_path):
+    file_paths = [os.path.join(folder_path, file_name) for file_name in os.listdir(folder_path)]
+    for file_path in file_paths:
+        example_list.append(file_path)
+
 def predict(my_image):
     image = Image.fromarray(my_image.astype('uint8'))
 
@@ -68,5 +81,9 @@ iface = gr.Interface(fn=predict,
                     inputs='image',
                     outputs=[gr.Label(num_top_classes=5, label="Predictions"), 
                              gr.Text(label='Description'),
-                             gr.Text(label='Calories and Health Info')])
-iface.launch()
+                             gr.Text(label='Calories and Health Info')],
+                             title=title,
+                             description=description,
+                             article=article,
+                             examples=example_list)
+iface.launch()