update

app.py

@@ -5,7 +5,7 @@ import yolov7
 
 #
 # from huggingface_hub import hf_hub_download
-from huggingface_hub import hfapi
+from huggingface_hub import HfApi
 
 
 # Images
@@ -14,7 +14,7 @@ from huggingface_hub import hfapi
     
 def yolov7_inference(
     image: gr.inputs.Image = None,
-    model_path: gr.inputs.Dropdown = hfapi(repo_id=f"alshimaa/model_baseline", filename=f"best_baseline.pt"),
+    model_path: gr.inputs.Dropdown = HfApi(repo_id=f"alshimaa/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,

requirements.txt

@@ -1,4 +1,4 @@
 gradio
 torch
 yolov7detect
-hfapi
+HfApi