Create app.py

app.py

@@ -0,0 +1,77 @@
+__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, link=None):
+    if link is None:
+        link = "https://huggingface.co/" + "spaces/" + model_name
+    return f'<a target="_blank" href="{link}">{model_name.split("/")[-1]}</a>'
+
+def get_space_ids():
+    api = HfApi()
+    spaces = api.list_spaces(filter="jax-diffusers-event")
+    print(spaces)
+    space_ids = [x for x in spaces]
+    return space_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():
+    submissions = get_space_ids()
+    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),
+                    submission.likes,
+                )
+            )
+
+    df = pd.DataFrame(data=leaderboard_models, columns=["User", "Space", "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(
+        """# JAX Diffusers Event Leaderboard
+    
+    Welcome to the leaderboard for the JAX Diffusers Event 💗🏆 
+    This is a community event where participants are creating applications based on Stable Diffusion using JAX and 🧨diffusers using v4 TPUs provided by Google Cloud.
+    To attend the event, simply follow the instructions in [this guide](https://github.com/huggingface/community-events/tree/main/jax-controlnet-sprint).
+    To submit your Space and add it to the leaderboard, simply add `jax-diffusers-event` under tags section in your Space's README.
+    At the end of the event, demos with most likes will be evaluated by the jury for special prizes! 🎁 
+    """
+    )
+
+    with gr.Row():
+        data = gr.components.Dataframe(
+            type="pandas", datatype=["number", "markdown", "markdown", "number"]
+        )
+    with gr.Row():
+        data_run = gr.Button("Refresh")
+        data_run.click(
+            get_submissions, outputs=data
+        )
+
+    block.load(get_submissions, outputs=data)
+
+block.launch()