update app.py

app.py

@@ -27,7 +27,7 @@ COLORS = ["#ff7f7f", "#ff7fbf", "#ff7fff", "#bf7fff",
             "#7fff7f", "#bfff7f", "#ffff7f", "#ffbf7f"]
 
 fdic = {
-    "family" : "Times New Roman",
+    "family" : "DejaVu Serif",
     "style" : "italic",
     "size" : 15,
     "color" : "yellow",
@@ -109,7 +109,7 @@ with gr.Blocks(title="YOLOS Object Detection - ClassCat",
     threshold = gr.Slider(0, 1.0, value=0.9, label='threshold')
 
     gr.HTML("""<br/>""")
-    gr.HTML("""<h4 style="color:navy;">4. Then, click "Infer" button to predict object instances. It will take about 10 seconds (on cpu)</h4>""")
+    gr.HTML("""<h4 style="color:navy;">4. Then, click "Infer" button to predict object instances. It will take about 10 seconds (yolos-tiny) or 20 seconds (yolos-small).</h4>""")
 
     send_btn = gr.Button("Infer")
     send_btn.click(fn=infer, inputs=[input_image, model, threshold], outputs=[output_image])