Update app.py

app.py

@@ -38,8 +38,8 @@ torch.hub.download_url_to_file('https://i.pinimg.com/originals/c2/ce/e0/c2cee056
 model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True, autoshape=True, trust_repo=True)
 
 
-HF_TOKEN = os.getenv("ZIKA_TOKEN_WRITE")
-hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "demo-iazika-flags")
+#HF_TOKEN = os.getenv("ZIKA_TOKEN_WRITE")
+#hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "demo-iazika-flags")
 
 def getQuantity(string): 
     contador_raw = ''.join(string.split(" ")[3:])
@@ -135,7 +135,7 @@ iface = gr.Interface(yolo,
 					#flagging_callback=hf_writer
                     )
 					
-iface.launch(enable_queue=True, debug=True, share=True)
+iface.launch(enable_queue=True, debug=True)
 
 """For YOLOv5 PyTorch Hub inference with **PIL**, **OpenCV**, **Numpy** or **PyTorch** inputs please see the full [YOLOv5 PyTorch Hub Tutorial](https://github.com/ultralytics/yolov5/issues/36).
 ## Citation