Upload app.py

app.py

@@ -86,15 +86,14 @@ article = '<p>Detectron model is available from our repository <a href="https://
 
 
 with gr.Blocks(title=title,
-                    description=description,
-                    article=article
+                    css=".gradio-container {background:white;}"
                ) as demo:
 
-    # gr.HTML("""<div style="font-family:'Times New Roman', 'Serif'; font-size:16pt; font-weight:bold; text-align:center; color:royalblue;">Detectron2 Object Detection</div>""")
+    gr.HTML("""<div style="font-family:'Times New Roman', 'Serif'; font-size:16pt; font-weight:bold; text-align:center; color:royalblue;">"Smartathon Phase2 Demo - Baseer"</div>""")
     #
-    # gr.HTML("""<h4 style="color:navy;">1-a. Select an example by clicking a thumbnail below.</h4>""")
+    gr.HTML("""<h4 style="color:navy;">1- Select an example by clicking a thumbnail below.</h4>""")
     #
-    # gr.HTML("""<h4 style="color:navy;">1-b. Or upload an image by clicking on the canvas.</h4>""")
+    gr.HTML("""<h4 style="color:navy;">2- Or upload an image by clicking on the canvas.</h4>""")
 
     with gr.Row():
         input_url = gr.Textbox(label="Image URL", placeholder="")
@@ -111,8 +110,8 @@ with gr.Blocks(title=title,
 
     gr.Examples(['./d1.jpeg', './d2.jpeg', './d3.jpeg','./d4.jpeg','./d5.jpeg','./d6.jpeg'], inputs=input_image)
 
-    # gr.HTML("""<br/>""")
-    # gr.HTML("""<h4 style="color:navy;">2. Then, click "Infer" button to predict object instances. It will take about 15-20 seconds (on cpu)</h4>""")
+    gr.HTML("""<br/>""")
+    gr.HTML("""<h4 style="color:navy;">3- Then, click "Submit" button to predict object instances. It will take about 15-20 seconds (on cpu)</h4>""")
 
     send_btn = gr.Button("Submit")
     send_btn.click(fn=inference, inputs=[input_url,input_image,gr.Slider(minimum=0.0, maximum=1.0, value=0.4, label="Minimum score")], outputs=[output_image])