Update web.py

web.py

@@ -708,25 +708,19 @@ def web_data():
         P("""
         There is minimal variation among existing pipeline implementations. We simply compute the mean word length as follows:
         """),
-        Div(
-            Code("""
+        D_code("""
                 words = text.split()
                 word_count = len(words)
                 character_count = sum(len(word) for word in words)
                 mean_word_length = character_count / word_count
-            """),
-            cls="code-block",
-        ),
+            """, block="block", language="python"),
         P("""
         It's worth noting that Dolma used the median word length instead of the mean in their codes.
         """),
-        Div(
-            Code("""
+        D_code("""
                 from statistics import median
                 median_word_length = median(len(word) for word in words)
-            """),
-            cls="code-block",
-        ),
+            """, block="block", language="python"),
         H5("Number of Sentences"),
         P("""
         The only publicly available implementation of this quality signal is from RedPajama V2, which uses regular expressions