Update app.py

app.py

@@ -19,9 +19,11 @@ def predict(image, threshold=0.25, model_id=None):
     global current_model_id
     global model
     if model_id != current_model_id:
+        model = yolov5.load(model_id)
+        # model_yolov8 = YOLO(DEFAULT_DET_MODEL_ID_yolov8)
         current_model_id = model_id
-
-    #get model input size
+    
+    # get model input size
     config_path = hf_hub_download(repo_id=model_id, filename="config.json")
     with open(config_path, "r") as f:
         config = json.load(f)
@@ -45,5 +47,5 @@ gr.Interface(
     ],
     outputs=gr.Image(type="pil"),
     examples=examples,
-    cache_examples=True if examples else False,
+    cache_examples=True if examples else Fale,
 ).launch(enable_queue=True)