Update app.py

app.py

@@ -40,8 +40,8 @@ def load_model(model_repo_id):
 def predict(pilimg,Threshold):
 
     image_np = pil_image_as_numpy_array(pilimg)
-    if type(Threshold) is None or Threshold==0:
-        Threshold=threshold_d
+    if type(Threshold) is None:
+        Threshold=0.38
         
     return predict2(image_np,Threshold),predict3(image_np,Threshold),Threshold
 
@@ -144,7 +144,7 @@ b = os.path.join(os.path.dirname(__file__), "data/c_tuned_detected.mp4")  # Vide
 #     return [video1, video2]
 
 label_id_offset = 0    
-threshold_d=0.38
+threshold_d= 0.38
 REPO_ID = "apailang/mytfodmodel"
 detection_model = load_model(REPO_ID)
 REPO_ID2 = "apailang/mytfodmodeltuned"