Update app.py

app.py

@@ -6,15 +6,14 @@ os.system("gdown https://drive.google.com/uc?id=1P4mY0Yyd3PPTybgZkjMYhFri88nTmJX
 
 def inference(image):
   os.system("python3 tools/demo_track.py image -f exps/example/mot/yolox_x_mix_det.py -c ./bytetrack_x_mot17.pth.tar --save_result --device 'cpu' --path "+image.name)
-  #os.system("python onnx_inference.py -i "+video)
-  #os.system("ls .")
   return "out.jpg"
   
 
 title = "Bytetrack"
 description = "Gradio demo for ByteTrack: Multi-Object Tracking by Associating Every Detection Box. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2110.06864'> ByteTrack: Multi-Object Tracking by Associating Every Detection Box </a> | <a href=“ https://github.com/ifzhang/ByteTrack”>Github Repo</a></p>"
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2110.06864' target='_blank'> ByteTrack: Multi-Object Tracking by Associating Every Detection Box </a> | <a href='https://github.com/ifzhang/ByteTrack' target='_blank'>Github Repo</a></p>"
 
+examples=[['paint.jpeg']]
 gr.Interface(
     inference, 
     gr.inputs.Image(type="file"), 
@@ -22,5 +21,6 @@ gr.Interface(
     title=title,
     description=description,
     article=article,
-    enable_queue=True
+    enable_queue=True,
+    examples=examples
     ).launch(debug=True)