Update app.py

app.py

@@ -27,7 +27,7 @@ def classify_image(image_filepath):
 import gradio as gr
 
 with gr.Blocks(title="Image Classification for 1000 Objects", css=".gradio-container {background:#FFD1DC;}") 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>""")
+    gr.HTML("""<div style="font-family:'Calibri', 'Serif'; font-size:16pt; font-weight:bold; text-align:center; color:black;">Image Classification for 1000 Objects</div>""")
     
     with gr.Row(): 
         input_image  = gr.Image(type="filepath", image_mode="L")        
@@ -41,6 +41,8 @@ with gr.Blocks(title="Image Classification for 1000 Objects", css=".gradio-conta
         gr.Examples(['./cheetah.jpg'], label='Cheetah'             , inputs=input_image)
         gr.Examples(['./eagle.jpg'], label='Eagle'             , inputs=input_image)
         gr.Examples(['./indigobird.jpg'], label='Indigo Bird'             , inputs=input_image)
+        gr.Examples(['./aircraftcarrier.jpg'], label='Aircraft Carrier'             , inputs=input_image)
+        gr.Examples(['./acousticguitar.jpg'], label='Acoustic Guitar'             , inputs=input_image)
 
 # gr.Interface(fn=predict,
 #              inputs=gr.Image(type="pil"),