add filter option for readme length

app.py

@@ -123,7 +123,6 @@ def filter_df_by_max_age(df, max_age_days=None):
     if max_age_days is not None:
         max_date = now - timedelta(days=max_age_days)
         df = df[df["created"] >= max_date]
-    df = df.sort_values(by=["likes", "downloads", "len"], ascending=False)
     return df
 
 
@@ -139,22 +138,32 @@ def filter_df(max_age_days=None, min_len=None):
         df = filter_df_by_max_age(df, max_age_days=max_age_days)
     if min_len is not None:
         df = filter_by_readme_len(df, min_len=min_len)
+    df = df.sort_values(by=["likes", "downloads", "len"], ascending=False)
     return df
 
 
 with gr.Blocks() as demo:
-    max_age_days = gr.Slider(
-        label="Max Age (days)", value=7, minimum=0, maximum=90, step=1, interactive=True
-    )
-
-    min_len = gr.Slider(
-        label="Minimum README Length",
-        value=300,
-        minimum=0,
-        maximum=1000,
-        step=50,
-        interactive=True,
+    gr.Markdown("# Recent Datasets on the Hub")
+    gr.Markdown(
+        "Datasets added in the past 90 days with a README.md and some metadata."
     )
+    with gr.Row():
+        max_age_days = gr.Slider(
+            label="Max Age (days)",
+            value=7,
+            minimum=0,
+            maximum=90,
+            step=1,
+            interactive=True,
+        )
+        min_len = gr.Slider(
+            label="Minimum README Length",
+            value=300,
+            minimum=0,
+            maximum=1000,
+            step=50,
+            interactive=True,
+        )
 
     output = gr.DataFrame(filter_df, datatype="markdown", min_width=160 * 2.5)
     max_age_days.input(filter_df, inputs=[max_age_days, min_len], outputs=[output])