Update app examples

app.py

@@ -1,3 +1,5 @@
+from pathlib import Path
+
 import gradio as gr
 
 from yolo import YOLO
@@ -14,15 +16,7 @@ def predict(image):
 
 title = "RDFNet: Real-time Object Detection Framework for Foggy Scenes"
 
-example_images = [
-    "img/1.png",
-    "img/2.png",
-    "img/3.png",
-    "img/4.png",
-    "img/5.png",
-    "img/6.png",
-    "img/7.png",
-]
+example_images = sorted(str(path) for path in Path("img").glob("*") if path.is_file())
 
 
 with gr.Blocks() as demo:
@@ -36,7 +30,8 @@ with gr.Blocks() as demo:
             output = gr.Image(type="pil", label="Prediction Result")
 
     submit_btn.click(fn=predict, inputs=img_input, outputs=output)
-    gr.Examples(examples=example_images, inputs=img_input)
+    if example_images:
+        gr.Examples(examples=example_images, inputs=img_input)
 
 
 demo.launch(server_name="0.0.0.0", server_port=7860)