Upload app.py

app.py

@@ -93,12 +93,15 @@ with gr.Blocks(title=title,
     #
     gr.HTML("""<h5 style="color:navy;">1- Select an example by clicking a thumbnail below.</h5>""")
     #
-    gr.HTML("""<h5 style="color:navy;">2- Or upload an image by clicking on the canvas.</h5>""")
+    gr.HTML("""<h5 style="color:navy;">2- Or upload an image by clicking on the canvas.<br>
+                                       3- Or insert direct url of an image.</h5>""")
 
     with gr.Row():
         with gr.Column():
             input_url = gr.Textbox(label="Image URL", placeholder="")
             input_image = gr.Image(type="filepath", image_mode="RGB", source="upload", optional=False, label="Input Image")
+            gr.HTML("""<h5 style="color:navy;">4- You can use this slider to control boxes min score: </h5>""")
+            sliderr = gr.Slider(minimum=0.0, maximum=1.0, value=0.4, label="Minimum score")
         output_image = gr.Image(type="pil", label="Output")
 
     # gr.Interface(
@@ -114,12 +117,12 @@ with gr.Blocks(title=title,
     #gr.HTML("""<br/>""")
 
 
-    gr.HTML("""<h5 style="color:navy;">3- You can use this slider to control boxes min score: </h5>""")
 
-    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])
 
-    gr.HTML("""<h5 style="color:navy;">4- Then, click "Submit" button to predict object instances. It will take about 15-20 seconds (on cpu)</h5>""")
+
+    gr.HTML("""<h5 style="color:navy;">5- Then, click "Submit" button to predict object instances. It will take about 15-20 seconds (on cpu)</h5>""")
     send_btn = gr.Button("Submit")
+    send_btn.click(fn=inference, inputs=[input_url,input_image,sliderr], outputs=[output_image])
 
     #gr.HTML("""<h5 style="color:navy;">Reference</h5>""")
     #gr.HTML("""<ul>""")