Update app.py

app.py

@@ -1,13 +1,64 @@
 import gradio as gr
-def update(name):
-    return f"Welcome to Gradio, {name}!"
+from huggingface_hub import list_models, list_datasets, list_spaces
+import pandas as pd
 
-with gr.Blocks() as demo:
-    gr.Markdown("Start typing below and then click **Run** to see the output.")
-    with gr.Row():
-        inp = gr.Textbox(placeholder="What is your name?")
-        out = gr.Textbox()
-    btn = gr.Button("Run")
-    btn.click(fn=update, inputs=inp, outputs=out)
+def get_user_stats():
+    users = {}
+    for k, fn in zip(['model', 'dataset', 'space'], [list_models, list_datasets, list_spaces]):
+        for repo in fn(full=True):
+            if repo.author is None:
+                continue
+
+            if repo.author not in users:
+                users[repo.author] = {
+                    x: 0 for x in [
+                        'model_likes',
+                        'num_models',
+                        'dataset_likes',
+                        'num_datasets',
+                        'space_likes',
+                        'num_spaces',
+                        'total_likes',
+                        'total_repos'
+                    ]
+                }
+            users[repo.author][f"{k}_likes"] += repo.likes
+            users[repo.author][f"num_{k}s"] += 1
+    
+    for username, user_stats in users.items():
+        users[username]['total_likes'] += sum([v for k, v in user_stats.items() if "likes" in k])
+        users[username]['total_repos'] += sum([v for k, v in user_stats.items() if "num_" in k])
+
+    for k, v in users.items():
+        users[k] = dict(users[k])
+
+    return users
+
+def make_clickable_user(user_id):
+    link = "https://huggingface.co/" + user_id
+    return f'<a  target="_blank" href="{link}">{user_id}</a>'
 
+
+def get_user_stats_df(limit=1000):
+    users = get_user_stats()
+    df = pd.DataFrame([{'username': make_clickable_user(k), **v} for k, v in users.items()])
+    df.sort_values(by=["total_likes"], ascending=False, inplace=True)
+    df.insert(0, "rank", list(range(1, len(df) + 1)))
+    if limit:
+        df = df.head(limit)
+    return df
+
+df = get_user_stats_df()
+desc = """
+# 🤗 Hugging Face User Stats
+
+Here are some stats on the top 1000 users/organizations on the Hugging Face Hub.
+"""
+with gr.Blocks() as demo:
+    gr.Markdown(desc)
+    data = gr.components.Dataframe(
+        df,
+        type="pandas",
+        datatype=["number", "markdown", "number", "number", "number", "number", "number", "number", "number", "number"],
+    )
 demo.launch()