Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
__all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions']
|
2 |
+
|
3 |
+
import gradio as gr
|
4 |
+
import pandas as pd
|
5 |
+
from huggingface_hub import HfApi, repocard
|
6 |
+
|
7 |
+
def is_duplicated(space_id:str)->None:
|
8 |
+
card = repocard.RepoCard.load(space_id, repo_type="space")
|
9 |
+
return getattr(card.data, "duplicated_from", None) is not None
|
10 |
+
|
11 |
+
|
12 |
+
|
13 |
+
def make_clickable_model(model_name, link=None):
|
14 |
+
if link is None:
|
15 |
+
link = "https://huggingface.co/" + "spaces/" + model_name
|
16 |
+
return f'<a target="_blank" href="{link}">{model_name.split("/")[-1]}</a>'
|
17 |
+
|
18 |
+
def get_space_ids():
|
19 |
+
api = HfApi()
|
20 |
+
spaces = api.list_spaces(filter="jax-diffusers-event")
|
21 |
+
print(spaces)
|
22 |
+
space_ids = [x for x in spaces]
|
23 |
+
return space_ids
|
24 |
+
|
25 |
+
|
26 |
+
def make_clickable_user(user_id):
|
27 |
+
link = "https://huggingface.co/" + user_id
|
28 |
+
return f'<a target="_blank" href="{link}">{user_id}</a>'
|
29 |
+
|
30 |
+
def get_submissions():
|
31 |
+
submissions = get_space_ids()
|
32 |
+
leaderboard_models = []
|
33 |
+
|
34 |
+
for submission in submissions:
|
35 |
+
# user, model, likes
|
36 |
+
if not is_duplicated(submission.id):
|
37 |
+
user_id = submission.id.split("/")[0]
|
38 |
+
leaderboard_models.append(
|
39 |
+
(
|
40 |
+
make_clickable_user(user_id),
|
41 |
+
make_clickable_model(submission.id),
|
42 |
+
submission.likes,
|
43 |
+
)
|
44 |
+
)
|
45 |
+
|
46 |
+
df = pd.DataFrame(data=leaderboard_models, columns=["User", "Space", "Likes"])
|
47 |
+
df.sort_values(by=["Likes"], ascending=False, inplace=True)
|
48 |
+
df.insert(0, "Rank", list(range(1, len(df) + 1)))
|
49 |
+
return df
|
50 |
+
|
51 |
+
block = gr.Blocks()
|
52 |
+
|
53 |
+
with block:
|
54 |
+
gr.Markdown(
|
55 |
+
"""# JAX Diffusers Event Leaderboard
|
56 |
+
|
57 |
+
Welcome to the leaderboard for the JAX Diffusers Event 💗🏆
|
58 |
+
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.
|
59 |
+
To attend the event, simply follow the instructions in [this guide](https://github.com/huggingface/community-events/tree/main/jax-controlnet-sprint).
|
60 |
+
To submit your Space and add it to the leaderboard, simply add `jax-diffusers-event` under tags section in your Space's README.
|
61 |
+
At the end of the event, demos with most likes will be evaluated by the jury for special prizes! 🎁
|
62 |
+
"""
|
63 |
+
)
|
64 |
+
|
65 |
+
with gr.Row():
|
66 |
+
data = gr.components.Dataframe(
|
67 |
+
type="pandas", datatype=["number", "markdown", "markdown", "number"]
|
68 |
+
)
|
69 |
+
with gr.Row():
|
70 |
+
data_run = gr.Button("Refresh")
|
71 |
+
data_run.click(
|
72 |
+
get_submissions, outputs=data
|
73 |
+
)
|
74 |
+
|
75 |
+
block.load(get_submissions, outputs=data)
|
76 |
+
|
77 |
+
block.launch()
|