Update app.py

app.py

@@ -30,8 +30,8 @@ if st.button("Predict"):
         # Convert to numpy array if necessary
         predicted_scores = predictions.numpy()
 
-        # Apply uniform reduction (e.g., reduce by a factor)
-        reduction_factor = 0.7  # Reduce scores by 30%
+        # Apply a significant uniform reduction (e.g., reduce by 50%)
+        reduction_factor = 0.4  # Reduce scores by 60%
         adjusted_scores = predicted_scores * reduction_factor
 
         # Ensure scores do not go below zero
@@ -41,7 +41,7 @@ if st.button("Predict"):
         normalized_scores = (adjusted_scores / adjusted_scores.max()) * 9  # Scale to 9
 
         # Apply an additional reduction to the overall score if needed
-        additional_reduction = 1.0  # Adjust this value as needed
+        additional_reduction = 2.5  # Further reduce overall score
         overall_score_index = len(normalized_scores) - 1
         normalized_scores[overall_score_index] = max(normalized_scores[overall_score_index] - additional_reduction, 0)