Create app.py

app.py

@@ -0,0 +1,96 @@
+
+__all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions']
+
+import gradio as gr
+import pandas as pd
+from huggingface_hub import HfApi, repocard
+
+
+#def is_duplicated(space_id:str)->None:
+#    card = repocard.RepoCard.load(space_id, repo_type="space")
+#    return getattr(card.data, "duplicated_from", None) is not None
+
+
+
+def make_clickable_model(model_name, repo_type, link=None):
+    if link is None:
+      if repo_type == "Dataset":
+        link = "https://huggingface.co/" + "datasets/" + model_name
+      else:
+        link = "https://huggingface.co/" + model_name
+    return f'<a target="_blank" href="{link}">{model_name.split("/")[-1]}</a>'
+
+def get_repo_ids(repo_type):
+    api = HfApi()
+    if repo_type is "Model":
+      notebooks = api.list_models(filter=["notebook-favorites"])
+    elif repo_type is "Dataset":
+      notebooks = api.list_datasets(filter=["notebook-favorites"])
+    print(notebooks)
+    notebook_ids = [x for x in notebooks]
+    return notebook_ids_ids
+
+
+def make_clickable_user(user_id):
+    link = "https://huggingface.co/" + user_id
+    return f'<a  target="_blank" href="{link}">{user_id}</a>'
+
+def get_submissions(repo_type):
+    submissions = get_repo_ids(repo_type)
+    leaderboard_models = []
+
+    for submission in submissions:
+        # user, model, likes
+        if not is_duplicated(submission.id):
+            user_id = submission.id.split("/")[0]
+            leaderboard_models.append(
+                (
+                    make_clickable_user(user_id),
+                    make_clickable_model(submission.id, repo_type),
+                    submission.likes,
+                )
+            )
+
+    df = pd.DataFrame(data=leaderboard_models, columns=["User", "Repository", "Likes"])
+    df.sort_values(by=["Likes"], ascending=False, inplace=True)
+    df.insert(0, "Rank", list(range(1, len(df) + 1)))
+    return df
+
+
+
+block = gr.Blocks()
+
+with block:
+    gr.Markdown(
+        """# Notebooks Leaderboard
+
+    This Space compiles coolest model and dataset repositories that contain notebooks!
+    """
+    )
+    with gr.Tabs():
+        with gr.TabItem("Notebooks in Model Repositories 🤖"):
+            with gr.Row():
+                model_data = gr.components.Dataframe(
+                    type="pandas", datatype=["number", "markdown", "markdown", "number"]
+                )
+            with gr.Row():
+                data_run = gr.Button("Refresh")
+                data_run.click(
+                    get_submissions, inputs=gr.Variable("nature"), outputs=nature_data
+                )
+        with gr.TabItem("Notebooks in Dataset Repositories 📖"):
+            with gr.Row():
+                dataset_data = gr.components.Dataframe(
+                    type="pandas", datatype=["number", "markdown", "markdown", "number"]
+                )
+            with gr.Row():
+                data_run = gr.Button("Refresh")
+                data_run.click(
+                    get_submissions, inputs=gr.Variable("scifi"), outputs=scifi_data
+                )
+
+    block.load(get_submissions, inputs=gr.Variable("Model"), outputs=model_data)
+    block.load(get_submissions, inputs=gr.Variable("Dataset"), outputs=dataset_data)
+
+
+block.launch()