update

app.py

@@ -4,6 +4,7 @@ import yolov7
 
 
 from huggingface_hub import hf_hub_download
+from huggingface_hub import hfapi
 
 # Images
 #torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg', 'zidane.jpg')
@@ -11,7 +12,7 @@ from huggingface_hub import hf_hub_download
     
 def yolov7_inference(
     image: gr.inputs.Image = None,
-    model_path: gr.inputs.Dropdown = hf_hub_download(repo_id=f"model_baseline", filename=f"best%20_baseline.pt"),
+    model_path: gr.inputs.Dropdown = hfapi(repo_id=f"model_baseline", filename=f"best_baseline.pt"),
     image_size: gr.inputs.Slider = 640,
     conf_threshold: gr.inputs.Slider = 0.25,
     iou_threshold: gr.inputs.Slider = 0.45,