Create app.py

app.py

@@ -0,0 +1,67 @@
+import gradio as gr
+from huggingface_hub import list_models, list_datasets, list_spaces
+import pandas as pd
+
+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=100):
+    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
+
+
+with gr.Blocks() as demo:
+
+    with gr.Row():
+        data = gr.components.Dataframe(
+            type="pandas",
+            datatype=["number", "markdown", "number", "number", "number", "number", "number", "number", "number", "number"],
+        )
+    # block.load(get_submissions, inputs=gr.Variable("nature"), outputs=nature_data)
+    with gr.Row():
+        btn = gr.Button("Refresh")
+        btn.click(
+            get_user_stats_df, inputs=gr.Variable("stats"), outputs=data
+        )
+
+    demo.load(get_user_stats_df, inputs=gr.Variable("stats"), outputs=data)
+demo.launch()