abhishek thakur
commited on
Commit
Β·
ae02377
1
Parent(s):
e65ebe2
some more fixes
Browse files- Overview.py +5 -18
- config.py +63 -7
- pages/2_π₯_New Submission.py +4 -9
- pages/3_βοΈ_Submission History.py +2 -1
Overview.py
CHANGED
@@ -1,29 +1,16 @@
|
|
1 |
import streamlit as st
|
2 |
|
|
|
|
|
3 |
st.set_page_config(
|
4 |
page_title="Overview",
|
5 |
page_icon="π€",
|
6 |
)
|
7 |
|
8 |
-
st.write("# Welcome to
|
9 |
|
10 |
st.markdown(
|
11 |
-
"""
|
12 |
-
|
13 |
-
You can use any model you want, but we recommend using a pretrained model from the
|
14 |
-
[π€ Hub](https://huggingface.co/models).
|
15 |
-
|
16 |
-
Rules:
|
17 |
-
- You can make upto 5 submissions per day.
|
18 |
-
- The test data has been divided into public and private splits.
|
19 |
-
- Your score on the public split will be shown on the leaderboard.
|
20 |
-
- Your final score will be based on your private split performance.
|
21 |
-
- The final rankings will be based on the private split performance.
|
22 |
-
- No cheating! You can only use the test data for inference. You cannot use it to train your model.
|
23 |
-
- No private sharing of code or data. You can discuss the competition on the forums, but please do not share any
|
24 |
-
code or data.
|
25 |
-
- Have fun! π€
|
26 |
-
|
27 |
-
For detailed rules, please check the [rules page](https://huggingface.co/competitions/transformers-cats-vs-dogs).
|
28 |
"""
|
29 |
)
|
|
|
1 |
import streamlit as st
|
2 |
|
3 |
+
import config
|
4 |
+
|
5 |
st.set_page_config(
|
6 |
page_title="Overview",
|
7 |
page_icon="π€",
|
8 |
)
|
9 |
|
10 |
+
st.write(f"# Welcome to {config.competition_info.competition_name}! π")
|
11 |
|
12 |
st.markdown(
|
13 |
+
f"""
|
14 |
+
{config.competition_info.competition_description}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
15 |
"""
|
16 |
)
|
config.py
CHANGED
@@ -1,8 +1,11 @@
|
|
|
|
1 |
import os
|
2 |
from datetime import datetime
|
3 |
from pathlib import Path
|
4 |
|
5 |
from dotenv import load_dotenv
|
|
|
|
|
6 |
|
7 |
if Path(".env").is_file():
|
8 |
load_dotenv(".env")
|
@@ -10,13 +13,66 @@ if Path(".env").is_file():
|
|
10 |
|
11 |
MOONLANDING_URL = os.getenv("MOONLANDING_URL")
|
12 |
COMPETITION_ID = os.getenv("COMPETITION_ID")
|
13 |
-
DUMMY_DATA_PATH = os.getenv("DUMMY_DATA_PATH")
|
14 |
AUTOTRAIN_USERNAME = os.getenv("AUTOTRAIN_USERNAME")
|
15 |
AUTOTRAIN_TOKEN = os.getenv("AUTOTRAIN_TOKEN")
|
16 |
-
HF_ACCESS_TOKEN = os.getenv("HF_ACCESS_TOKEN")
|
17 |
AUTOTRAIN_BACKEND_API = os.getenv("AUTOTRAIN_BACKEND_API")
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import json
|
2 |
import os
|
3 |
from datetime import datetime
|
4 |
from pathlib import Path
|
5 |
|
6 |
from dotenv import load_dotenv
|
7 |
+
from huggingface_hub import hf_hub_download
|
8 |
+
from huggingface_hub.utils._errors import EntryNotFoundError
|
9 |
|
10 |
if Path(".env").is_file():
|
11 |
load_dotenv(".env")
|
|
|
13 |
|
14 |
MOONLANDING_URL = os.getenv("MOONLANDING_URL")
|
15 |
COMPETITION_ID = os.getenv("COMPETITION_ID")
|
|
|
16 |
AUTOTRAIN_USERNAME = os.getenv("AUTOTRAIN_USERNAME")
|
17 |
AUTOTRAIN_TOKEN = os.getenv("AUTOTRAIN_TOKEN")
|
|
|
18 |
AUTOTRAIN_BACKEND_API = os.getenv("AUTOTRAIN_BACKEND_API")
|
19 |
+
|
20 |
+
|
21 |
+
class CompetitionInfo:
|
22 |
+
def __init__(self):
|
23 |
+
try:
|
24 |
+
config_fname = hf_hub_download(
|
25 |
+
repo_id=COMPETITION_ID,
|
26 |
+
filename="config.json",
|
27 |
+
use_auth_token=AUTOTRAIN_TOKEN,
|
28 |
+
repo_type="dataset",
|
29 |
+
)
|
30 |
+
except EntryNotFoundError:
|
31 |
+
raise Exception("Competition config not found. Please check the competition id.")
|
32 |
+
except Exception as e:
|
33 |
+
print(e)
|
34 |
+
raise Exception("Hugging Face Hub is unreachable, please try again later.")
|
35 |
+
|
36 |
+
self.config = self.load_config(config_fname)
|
37 |
+
|
38 |
+
def load_config(self, config_path):
|
39 |
+
with open(config_path) as f:
|
40 |
+
config = json.load(f)
|
41 |
+
return config
|
42 |
+
|
43 |
+
@property
|
44 |
+
def submission_limit(self):
|
45 |
+
return self.config["SUBMISSION_LIMIT"]
|
46 |
+
|
47 |
+
@property
|
48 |
+
def selection_limit(self):
|
49 |
+
return self.config["SELECTION_LIMIT"]
|
50 |
+
|
51 |
+
@property
|
52 |
+
def end_date(self):
|
53 |
+
e_d = self.config["END_DATE"]
|
54 |
+
return datetime.strptime(e_d, "%Y-%m-%d")
|
55 |
+
|
56 |
+
@property
|
57 |
+
def eval_higher_is_better(self):
|
58 |
+
hb = self.config["EVAL_HIGHER_IS_BETTER"]
|
59 |
+
return True if int(hb) == 1 else False
|
60 |
+
|
61 |
+
@property
|
62 |
+
def competition_dataset(self):
|
63 |
+
return self.config["DATASET"]
|
64 |
+
|
65 |
+
@property
|
66 |
+
def competition_description(self):
|
67 |
+
return self.config["COMPETITION_DESCRIPTION"]
|
68 |
+
|
69 |
+
@property
|
70 |
+
def competition_name(self):
|
71 |
+
return self.config["COMPETITION_NAME"]
|
72 |
+
|
73 |
+
@property
|
74 |
+
def submission_columns(self):
|
75 |
+
return self.config["SUBMISSION_COLUMNS"].split(",")
|
76 |
+
|
77 |
+
|
78 |
+
competition_info = CompetitionInfo()
|
pages/2_π₯_New Submission.py
CHANGED
@@ -6,7 +6,7 @@ from huggingface_hub import HfApi
|
|
6 |
import config
|
7 |
import utils
|
8 |
|
9 |
-
SUBMISSION_TEXT = """You can make upto
|
10 |
The test data has been divided into public and private splits.
|
11 |
Your score on the public split will be shown on the leaderboard.
|
12 |
Your final score will be based on your private split performance.
|
@@ -23,7 +23,7 @@ def app():
|
|
23 |
st.markdown(SUBMISSION_TEXT)
|
24 |
uploaded_file = st.file_uploader("Choose a file")
|
25 |
# user token
|
26 |
-
user_token = st.text_input("Enter your token", value="", type="password")
|
27 |
user_token = user_token.strip()
|
28 |
if uploaded_file is not None and user_token != "":
|
29 |
# verify token
|
@@ -49,7 +49,7 @@ def app():
|
|
49 |
# write a horizontal html line
|
50 |
st.markdown("<hr/>", unsafe_allow_html=True)
|
51 |
else:
|
52 |
-
with st.spinner("
|
53 |
user_id = user_info["id"]
|
54 |
submission_id = str(uuid.uuid4())
|
55 |
file_extension = uploaded_file.name.split(".")[-1]
|
@@ -62,18 +62,12 @@ def app():
|
|
62 |
repo_type="dataset",
|
63 |
token=config.AUTOTRAIN_TOKEN,
|
64 |
)
|
65 |
-
with st.spinner("Creating submission..."):
|
66 |
# update submission limit
|
67 |
submissions_made = utils.increment_submissions(
|
68 |
user_id=user_id,
|
69 |
submission_id=submission_id,
|
70 |
submission_comment="",
|
71 |
)
|
72 |
-
st.success(
|
73 |
-
f"Upload successful! You have {config.SUBMISSION_LIMIT - submissions_made} submissions left for today."
|
74 |
-
)
|
75 |
-
|
76 |
-
with st.spinner("Scheuling submission for evaluation..."):
|
77 |
# schedule submission for evaluation
|
78 |
utils.create_project(
|
79 |
project_id=f"{submission_id}",
|
@@ -82,6 +76,7 @@ def app():
|
|
82 |
model="generic_competition",
|
83 |
)
|
84 |
st.success("Submission scheduled for evaluation")
|
|
|
85 |
|
86 |
|
87 |
if __name__ == "__main__":
|
|
|
6 |
import config
|
7 |
import utils
|
8 |
|
9 |
+
SUBMISSION_TEXT = f"""You can make upto {config.competition_info.submission_limit} submissions per day.
|
10 |
The test data has been divided into public and private splits.
|
11 |
Your score on the public split will be shown on the leaderboard.
|
12 |
Your final score will be based on your private split performance.
|
|
|
23 |
st.markdown(SUBMISSION_TEXT)
|
24 |
uploaded_file = st.file_uploader("Choose a file")
|
25 |
# user token
|
26 |
+
user_token = st.text_input("Enter your Hugging Face token", value="", type="password")
|
27 |
user_token = user_token.strip()
|
28 |
if uploaded_file is not None and user_token != "":
|
29 |
# verify token
|
|
|
49 |
# write a horizontal html line
|
50 |
st.markdown("<hr/>", unsafe_allow_html=True)
|
51 |
else:
|
52 |
+
with st.spinner("Creating submission... Please wait"):
|
53 |
user_id = user_info["id"]
|
54 |
submission_id = str(uuid.uuid4())
|
55 |
file_extension = uploaded_file.name.split(".")[-1]
|
|
|
62 |
repo_type="dataset",
|
63 |
token=config.AUTOTRAIN_TOKEN,
|
64 |
)
|
|
|
65 |
# update submission limit
|
66 |
submissions_made = utils.increment_submissions(
|
67 |
user_id=user_id,
|
68 |
submission_id=submission_id,
|
69 |
submission_comment="",
|
70 |
)
|
|
|
|
|
|
|
|
|
|
|
71 |
# schedule submission for evaluation
|
72 |
utils.create_project(
|
73 |
project_id=f"{submission_id}",
|
|
|
76 |
model="generic_competition",
|
77 |
)
|
78 |
st.success("Submission scheduled for evaluation")
|
79 |
+
st.success(f"You have {config.SUBMISSION_LIMIT - submissions_made} submissions left for today.")
|
80 |
|
81 |
|
82 |
if __name__ == "__main__":
|
pages/3_βοΈ_Submission History.py
CHANGED
@@ -7,7 +7,8 @@ from huggingface_hub.utils._errors import EntryNotFoundError
|
|
7 |
import config
|
8 |
import utils
|
9 |
|
10 |
-
SUBMISSION_TEXT = f"""You can select upto {config.
|
|
|
11 |
|
12 |
|
13 |
def get_subs(user_info, private=False):
|
|
|
7 |
import config
|
8 |
import utils
|
9 |
|
10 |
+
SUBMISSION_TEXT = f"""You can select upto {config.competition_info.selection_limit}
|
11 |
+
submissions for private leaderboard."""
|
12 |
|
13 |
|
14 |
def get_subs(user_info, private=False):
|