corrected folder path

app.py

@@ -74,16 +74,16 @@ def inference(input_img, transparency = 0.5, target_layer_number = -1, top_predi
 
 title = "CIFAR10 trained on ResNet18 Model with GradCAM"
 description = "A simple Gradio interface to infer on ResNet model, and get GradCAM results"
-examples = [["cat.jpg", 0.8, -1,3,3], 
-            ["dog.jpeg", 0.8, -1,3,3], 
-            ["plane.jpeg", 0.8, -1,3,3], 
-            ["deer.jpeg", 0.8, -1,3,3], 
-            ["horse.jpeg", 0.8, -1,3,3], 
-            ["bird.jpeg", 0.8, -1,3,3],
-            ["frog.jpeg", 0.8, -1,3,3], 
-            ["ship.jpeg", 0.8, -1,3,3], 
-            ["truck.jpeg", 0.8, -1,3,3], 
-            ["car.jpeg", 0.8, -1,3,3]]
+examples = [["./examples/cat.jpg", 0.8, -1,3,3], 
+            ["./examples/dog.jpeg", 0.8, -1,3,3], 
+            ["./examples/plane.jpeg", 0.8, -1,3,3], 
+            ["./examples/deer.jpeg", 0.8, -1,3,3], 
+            ["./examples/horse.jpeg", 0.8, -1,3,3], 
+            ["./examples/bird.jpeg", 0.8, -1,3,3],
+            ["./examples/frog.jpeg", 0.8, -1,3,3], 
+            ["./examples/ship.jpeg", 0.8, -1,3,3], 
+            ["./examples/truck.jpeg", 0.8, -1,3,3], 
+            ["./examples/car.jpeg", 0.8, -1,3,3]]
 demo = gr.Interface(
     inference, 
     inputs = [gr.Image(shape=(32, 32), label="Input Image"),