Update app.py

app.py

@@ -21,7 +21,7 @@ pipe1 = pipeline("image-classification", f"{models[1]}")
 pipe2 = pipeline("image-classification", f"{models[2]}")
 
 def image_classifier0(image):
-    labels = ["AI", "Real"]
+    labels = ["Real","AI"]
     outputs = pipe0(image)
     results = {}
     result_test={}
@@ -30,9 +30,10 @@ def image_classifier0(image):
     print (result_test)
     for result in outputs:
         results[result['label']] = result['score']    
+    print (results)    
     return results
 def image_classifier1(image):
-    labels = ["AI", "Real"]
+    labels = ["Real","AI"]
     outputs = pipe1(image)
     results = {}
     result_test={}
@@ -41,9 +42,10 @@ def image_classifier1(image):
     print (result_test)    
     for result in outputs:
         results[result['label']] = result['score']
+    print (results)    
     return results
 def image_classifier2(image):
-    labels = ["AI", "Real"]
+    labels = ["Real","AI"]
     outputs = pipe2(image)
     results = {}
     result_test={}
@@ -52,6 +54,7 @@ def image_classifier2(image):
     print (result_test)    
     for result in outputs:
         results[result['label']] = result['score']
+    print (results)    
     return results
 
 def softmax(vector):
@@ -162,7 +165,7 @@ def tot_prob():
             "AI":f"{fin_sub}"
         }
         #fin_sum.clear()
-        print (fin_out)
+        #print (fin_out)
         return out
     except Exception as e:
         pass