Update app.py

app.py

@@ -45,18 +45,13 @@ torch.hub.download_url_to_file('https://i.pinimg.com/originals/c2/ce/e0/c2cee056
 
 # Model
 #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('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_TOKEN = os.environ.get("ZIKA_TOKEN_WRITE" or True)
-#hf_writer = gr.HuggingFaceDatasetSaver(hf_foken=HF_TOKEN, dataset_name="AllAideas/demo-iazika-flags")
-#hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "AllAideas/demo-iazika-flags", "AllAideas")
-hf_writer = gr.HuggingFaceDatasetSaver(hf_foken=HF_TOKEN, dataset_name="AllAideas/demo-iazika-flags", organization="AllAideas", private=True)
-#hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "demo-iazika-flags", "AllAideas", False)
+HF_TOKEN = os.getenv("ZIKA_TOKEN_WRITE")
+hf_writer = gr.HuggingFaceDatasetSaver(hf_foken=HF_TOKEN, dataset_name="AllAideas/demo-iazika-flags")
 
 def getQuantity(string): 
     contador_raw = ''.join(string.split(" ")[3:])
@@ -150,7 +145,6 @@ iface = gr.Interface(yolo,
 					allow_flagging="manual",
 					flagging_options=["Correcto", "Incorrecto", "Casi correcto", "Error", "Otro"],
 					#flagging_callback=hf_writer
-                    flagging_callback=gr.CSVLogger()
                     )
 
 #iface.launch(cache_examples=True, enable_queue=True, debug=True)