Update app.py

app.py

@@ -47,12 +47,13 @@ torch.hub.download_url_to_file('https://i.pinimg.com/originals/c2/ce/e0/c2cee056
 #model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # force_reload=True to update
 
 #model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt')  # local model  o google colab
-model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True, autoshape=True)  # local model  o google colab
+#model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True, autoshape=True)  # local model  o google colab
 #model = torch.hub.load('path/to/yolov5', 'custom', path='/content/yolov56.pt', source='local')  # local repo
+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_foken=HF_TOKEN, dataset_name="AllAideas/demo-iazika-flags")
-hf_writer = gr.HuggingFaceDatasetSaver(hf_foken=HF_TOKEN, dataset_name="AllAideas/demo-iazika-flags", trust_repo=True)
+hf_writer = gr.HuggingFaceDatasetSaver(hf_foken=HF_TOKEN, dataset_name="AllAideas/demo-iazika-flags")
 #hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "demo-iazika-flags", "AllAideas", False)
 
 def getQuantity(string):