Update README.md

README.md

@@ -1,18 +1,18 @@
 ---
 title: MSE
-emoji: 🤗 
+emoji: 🤗
 colorFrom: blue
 colorTo: red
 sdk: gradio
-sdk_version: 3.19.1
+sdk_version: 5.25.2
 app_file: app.py
 pinned: false
 tags:
 - evaluate
 - metric
 description: >-
-  Mean Squared Error(MSE) is the average of the square of difference between the predicted
-  and actual values.
+  Mean Squared Error(MSE) is the average of the square of difference between the
+  predicted and actual values.
 ---
 
 # Metric Card for MSE
@@ -134,4 +134,4 @@ MSE has the disadvantage of heavily weighting outliers -- given that it squares
 ```
 
 ## Further References
-- [Mean Squared Error - Wikipedia](https://en.wikipedia.org/wiki/Mean_squared_error)
+- [Mean Squared Error - Wikipedia](https://en.wikipedia.org/wiki/Mean_squared_error)