Update app.py

app.py

@@ -99,10 +99,10 @@ def predict_percept(image):
         predicted = outputs.argmax(1).item()
         
     iqa_score = np.mean(iqa_score)
-    min_iqa_pred = -100
-    max_iqa_pred = 100
-    max_iqa_score = 0
-    min_iqa_score = 5
+    min_iqa_pred = -6.52
+    max_iqa_pred = 3.11
+    max_iqa_score = 4.32
+    min_iqa_score = 1
 
     normalized_iqa_score = ((iqa_score - min_iqa_pred) / (max_iqa_pred - min_iqa_pred)) * (max_iqa_score - min_iqa_score) + min_iqa_score