Update app.py

app.py

@@ -31,7 +31,7 @@ if st.button("Predict"):
         predicted_scores = predictions.numpy()
         
         # Apply a significant uniform reduction (e.g., reduce by 80%)
-        reduction_factor = 0.4  # Reduce scores by 80%
+        reduction_factor = 0.2  # Reduce scores by 80%
         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 additional reductions to all scores
-        additional_reduction = 1.5  # Further reduce all scores
+        additional_reduction = 1.9  # Further reduce all scores
         normalized_scores = np.maximum(normalized_scores - additional_reduction, 0)
         
         # Round the scores