Update app.py

app.py

@@ -7,7 +7,6 @@ import os
 
 model_path = "best_int8_openvino_model"
 
-
 # Example paths for Gradio
 image_examples = [["DurianMangosteen1.jpg"], ["DurianMangosteen2.jpg"]]
 
@@ -26,9 +25,7 @@ def predict(pilimg):
     source = pilimg
     # x = np.asarray(pilimg)
     # print(x.shape)
-
-    detection_model = YOLO(best_yolo_model, task='detect')# load the model
-
+    
     result = detection_model.predict(source, conf=0.4, iou=0.6) # confidence threshold, intersection over union threshold
     
     #print("Result: ", result)