Update app.py

app.py

@@ -21,19 +21,19 @@ def predict(inp):
 
 import gradio as gr
 
-demo = gr.Blocks(title="Image Classification for 1000 Objects", css=".gradio-container {background:mintcream;}")
-gr.HTML("""<div style="font-family:'Times New Roman', 'Serif'; font-size:16pt; font-weight:bold; text-align:center; color:royalblue;">Image Classification for 1000 Objects</div>""")
-
-with gr.Row(): 
-    input_image  = gr.Image(type="filepath", image_mode="L")        
-    output_label = gr.Label(label="Probabilities", num_top_classes=3)
-
-send_btn = gr.Button("Infer")
-send_btn.click(fn=predict, inputs=input_image, outputs=output_label)
-
-with gr.Row():
-    gr.Examples(['./lion.jpg']   , label='Sample images : Lion', inputs=input_image)
-    gr.Examples(['./cheetah.jpg'], label='Cheetah'             , inputs=input_image)
+with gr.Blocks(title="Image Classification for 1000 Objects", css=".gradio-container {background:mintcream;}") as demo:
+    gr.HTML("""<div style="font-family:'Times New Roman', 'Serif'; font-size:16pt; font-weight:bold; text-align:center; color:royalblue;">Image Classification for 1000 Objects</div>""")
+    
+    with gr.Row(): 
+        input_image  = gr.Image(type="filepath", image_mode="L")        
+        output_label = gr.Label(label="Probabilities", num_top_classes=3)
+    
+    send_btn = gr.Button("Infer")
+    send_btn.click(fn=predict, inputs=input_image, outputs=output_label)
+    
+    with gr.Row():
+        gr.Examples(['./lion.jpg']   , label='Sample images : Lion', inputs=input_image)
+        gr.Examples(['./cheetah.jpg'], label='Cheetah'             , inputs=input_image)
 
 # gr.Interface(fn=predict,
 #              inputs=gr.Image(type="pil"),