Update app.py

app.py

@@ -7,23 +7,22 @@ def predict(image):
     r_image = yolo.detect_image(image)
     return r_image
 
-title = "MASFNet: Multi-scale Adaptive Sampling Fusion Network for Object Detection in Adverse Weather "
+title = "MASFNet: Multiscale Adaptive Sampling Fusion Network for Object Detection in Adverse Weather"
 description = ""
-article = ""
 
 def reset_interface():
     return gr.update(value=None), gr.update(visible=False)
 
 example_images = [
-    ["img/1.png"],
-    ["img/2.png"],
-    ["img/3.png"],
-    ["img/4.png"],
-    ["img/5.png"],
-    ["img/6.png"],
-    ["img/7.png"],
-    ["img/8.png"],
-    ["img/10.png"],
+    "img/1.png",
+    "img/2.png",
+    "img/3.png",
+    "img/4.png",
+    "img/5.png",
+    "img/6.png",
+    "img/7.png",
+    "img/8.png",
+    "img/10.png",
 ]
 
 with gr.Blocks() as demo:
@@ -39,10 +38,11 @@ with gr.Blocks() as demo:
     
     submit_btn.click(fn=predict, inputs=img_input, outputs=output)
     demo.load(reset_interface, None, [output])
-    gr.Examples(
-        examples=example_images,
-        inputs=img_input,
-    )
-    
 
-demo.launch(share=True)
+    with gr.Row():
+        gr.Examples(
+            examples=example_images,
+            inputs=img_input,
+        )
+
+demo.launch(share=True)