Update app.py

app.py

@@ -103,37 +103,37 @@ article = '<p>Detectron model is available from our repository <a href="https://
 
 
 
-    gr.Examples(['./d1.jpeg', './d2.jpeg', './d3.jpeg','./d4.jpeg','./d5.jpeg','./d6.jpeg'], inputs=input_image)
+gr.Examples(['./d1.jpeg', './d2.jpeg', './d3.jpeg','./d4.jpeg','./d5.jpeg','./d6.jpeg'], inputs=input_image)
 
 
 
 
 
-    
-    with gr.Row():
-        with gr.Column():
-            #gr.HTML("""<h5 style="color:navy;">3- Or insert direct url of an image.</h5>""")
-            input_url = gr.Textbox(label="Image URL", placeholder="")
-            #gr.HTML("""<h5 style="color:navy;">2- Or upload an image by clicking on the canvas.<br></h5>""")
-            input_image = gr.Image(type="filepath", image_mode="RGB", sources="upload", label="Input Image")
-            input_video = gr.Video(format="mp4",sources="upload", label="Input video" )
-            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")
-        output_video = gr.Video(format="mp4", label="Output")
-    
-    
-    img_interface = gr.Interface(
-        fn=inference,
-       inputs=[input_url,input_image,sliderr], outputs=[output_image], api_name="find"
-    )
-    video_interface =  gr.Interface(
-        fn=infer_video,
-       inputs=[input_video], outputs=[output_video], api_name="vid"
-    )
-    demo = gr.TabbedInterface([img_interface, video_interface], ["Image Upload", "Video Upload"])
-    
-    demo.launch()
+
+with gr.Row():
+    with gr.Column():
+        #gr.HTML("""<h5 style="color:navy;">3- Or insert direct url of an image.</h5>""")
+        input_url = gr.Textbox(label="Image URL", placeholder="")
+        #gr.HTML("""<h5 style="color:navy;">2- Or upload an image by clicking on the canvas.<br></h5>""")
+        input_image = gr.Image(type="filepath", image_mode="RGB", sources="upload", label="Input Image")
+        input_video = gr.Video(format="mp4",sources="upload", label="Input video" )
+        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")
+    output_video = gr.Video(format="mp4", label="Output")
+
+
+img_interface = gr.Interface(
+    fn=inference,
+   inputs=[input_url,input_image,sliderr], outputs=[output_image], api_name="find"
+)
+video_interface =  gr.Interface(
+    fn=infer_video,
+   inputs=[input_video], outputs=[output_video], api_name="vid"
+)
+demo = gr.TabbedInterface([img_interface, video_interface], ["Image Upload", "Video Upload"])
+
+demo.launch()