Update report_summary function to display top 30

app.py

@@ -72,7 +72,7 @@ df = df.sort_values(
 
 def report_summary():
     summary = ""
-    for row in df.head(20).itertuples():
+    for row in df.head(30).itertuples():
         language = row[1]
         summary += f"# Summary for language: {language}\n"
         summary += f"This language has {(row[2])} token classification datasets, {row[3]} datasets overall, {row[4]} token classification models, and {row[5]} models overall.\n"
@@ -85,7 +85,7 @@ def report_summary():
 
 with gr.Blocks() as demo:
     gr.DataFrame(df)
-    gr.Markdown("# Top 20 candidates")
+    gr.Markdown("# Top 30 candidates")
     gr.Markdown(
         "Candiates generated by sorting by most token classification datasets, then least token classification models, then least models overall"
     )