abhishek thakur
commited on
Commit
Β·
227de0b
1
Parent(s):
94ce484
fix
Browse files- Dockerfile +31 -0
- Overview.py +4 -0
- README.md +3 -6
- pages/{2_π₯_New Submission.py β 1_π₯_Submissions.py} +62 -6
- pages/1_π€_Dataset.py +0 -14
- pages/2_π_Leaderboard.py +28 -0
- pages/3_βοΈ_Submission History.py +0 -62
- pages/4_π_Public Leaderboard.py +0 -14
- pages/5_π_Private Leaderboard.py +0 -23
- utils.py +1 -1
Dockerfile
ADDED
@@ -0,0 +1,31 @@
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FROM python:3.8.9
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RUN pip install pip==22.3.1
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WORKDIR /app
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RUN mkdir -p /app/.cache
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ENV HF_HOME="/app/.cache"
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RUN chown -R 1000:1000 /app
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USER 1000
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ENV HOME=/app
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RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
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&& sh Miniconda3-latest-Linux-x86_64.sh -b -p /app/miniconda \
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&& rm -f Miniconda3-latest-Linux-x86_64.sh
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ENV PATH /app/miniconda/bin:$PATH
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RUN conda create -p /app/env -y python=3.8
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SHELL ["conda", "run","--no-capture-output", "-p","/app/env", "/bin/bash", "-c"]
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COPY --chown=1000:1000 requirements.txt /app/requirements.txt
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RUN pip install -r requirements.txt
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COPY --chown=1000:1000 *.py /app/
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COPY --chown=1000:1000 pages/ /app/pages/
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CMD streamlit run Overview.py \
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--server.headless true \
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--server.enableCORS false \
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--server.enableXsrfProtection false \
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--server.fileWatcherType none
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Overview.py
CHANGED
@@ -14,3 +14,7 @@ st.markdown(
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{config.competition_info.competition_description}
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"""
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)
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{config.competition_info.competition_description}
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"""
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)
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st.markdown("## Dataset")
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# st.sidebar.header("Dataset")
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st.write(f"""{config.competition_info.dataset_description}""")
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README.md
CHANGED
@@ -1,12 +1,9 @@
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---
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title:
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emoji: π’
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colorFrom: indigo
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colorTo: gray
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sdk:
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sdk_version: 1.10.0
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app_file: Overview.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Shoes vs Boots vs Sandals
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emoji: π’
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colorFrom: indigo
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colorTo: gray
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sdk: docker
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pinned: false
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app_port: 8501
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---
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pages/{2_π₯_New Submission.py β 1_π₯_Submissions.py}
RENAMED
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import uuid
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import streamlit as st
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from huggingface_hub import HfApi
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import config
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import utils
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SUBMISSION_ERROR = """Submission is not in a proper format.
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Please check evaluation instructions for more details."""
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-
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-
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st.write("## New Submission")
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st.markdown(SUBMISSION_TEXT)
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uploaded_file = st.file_uploader("Choose a file")
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# user token
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user_token = st.text_input("Enter your Hugging Face token", value="", type="password")
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user_token = user_token.strip()
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# add submit button
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submit_button = st.button("Submit")
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if uploaded_file is not None and user_token != "" and submit_button:
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# verify token
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@@ -83,5 +105,39 @@ def app():
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)
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if __name__ == "__main__":
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app()
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import uuid
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from datetime import datetime
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import pandas as pd
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import streamlit as st
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from huggingface_hub import HfApi
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from huggingface_hub.utils._errors import EntryNotFoundError
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import config
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import utils
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SUBMISSION_ERROR = """Submission is not in a proper format.
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Please check evaluation instructions for more details."""
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SUBMISSION_LIMIT_TEXT = f"""You can select upto {config.competition_info.selection_limit}
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submissions for private leaderboard."""
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def get_subs(user_info, private=False):
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# get user submissions
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user_id = user_info["id"]
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try:
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user_submissions = utils.fetch_submissions(user_id)
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except EntryNotFoundError:
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st.error("No submissions found")
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return
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submissions_df = pd.DataFrame(user_submissions)
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if not private:
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submissions_df = submissions_df.drop(columns=["private_score"])
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submissions_df = submissions_df[
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["date", "submission_id", "public_score", "submission_comment", "selected", "status"]
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]
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else:
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submissions_df = submissions_df[
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["date", "submission_id", "public_score", "private_score", "submission_comment", "selected", "status"]
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]
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st.write(submissions_df)
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def new_submission(user_token):
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st.write("## New Submission")
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st.markdown(SUBMISSION_TEXT)
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uploaded_file = st.file_uploader("Choose a file")
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submit_button = st.button("Submit")
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if uploaded_file is not None and user_token != "" and submit_button:
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# verify token
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)
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def my_submissions(user_token):
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st.write("## Your Submissions")
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st.markdown(SUBMISSION_LIMIT_TEXT)
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if user_token != "":
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user_info = utils.user_authentication(token=user_token)
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if "error" in user_info:
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st.error("Invalid token")
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return
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if user_info["emailVerified"] is False:
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st.error("Please verify your email on Hugging Face Hub")
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return
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current_date_time = datetime.now()
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private = False
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if current_date_time >= config.competition_info.end_date:
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private = True
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get_subs(user_info, private=private)
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def app():
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st.set_page_config(page_title="Submissions", page_icon="π€")
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st.markdown("## Submissions")
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user_token = st.text_input("Enter your Hugging Face token", value="", type="password")
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user_token = user_token.strip()
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new_sub, my_sub = st.tabs(["New Submission", "My Submissions"])
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with new_sub:
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new_submission(user_token)
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with my_sub:
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my_submissions(user_token)
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if __name__ == "__main__":
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app()
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pages/1_π€_Dataset.py
DELETED
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import streamlit as st
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import config
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def app():
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st.set_page_config(page_title="Dataset", page_icon="π")
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st.markdown("# Dataset")
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# st.sidebar.header("Dataset")
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st.write(f"""{config.competition_info.dataset_description}""")
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if __name__ == "__main__":
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app()
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pages/2_π_Leaderboard.py
ADDED
@@ -0,0 +1,28 @@
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from datetime import datetime
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import streamlit as st
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import config
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import utils
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def app():
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st.set_page_config(page_title="Leaderboard", page_icon="π€")
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st.markdown("## Leaderboard")
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public_lb, private_lb = st.tabs(["Public", "Private"])
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current_date_time = datetime.now()
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with public_lb:
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lb = utils.fetch_leaderboard(private=False)
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st.table(lb)
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with private_lb:
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if current_date_time >= config.competition_info.end_date:
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lb = utils.fetch_leaderboard(private=True)
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st.table(lb)
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else:
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st.error("Private Leaderboard will be available after the competition ends")
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if __name__ == "__main__":
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app()
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pages/3_βοΈ_Submission History.py
DELETED
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from datetime import datetime
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import pandas as pd
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import streamlit as st
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from huggingface_hub.utils._errors import EntryNotFoundError
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import config
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import utils
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SUBMISSION_TEXT = f"""You can select upto {config.competition_info.selection_limit}
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submissions for private leaderboard."""
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def get_subs(user_info, private=False):
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# get user submissions
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user_id = user_info["id"]
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try:
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user_submissions = utils.fetch_submissions(user_id)
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except EntryNotFoundError:
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st.error("No submissions found")
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return
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submissions_df = pd.DataFrame(user_submissions)
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if not private:
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submissions_df = submissions_df.drop(columns=["private_score"])
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submissions_df = submissions_df[
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["date", "submission_id", "public_score", "submission_comment", "selected", "status"]
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]
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else:
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submissions_df = submissions_df[
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["date", "submission_id", "public_score", "private_score", "submission_comment", "selected", "status"]
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]
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st.write(submissions_df)
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def app():
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st.set_page_config(page_title="Submission History", page_icon="π€")
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st.write("## Your Submissions")
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st.markdown(SUBMISSION_TEXT)
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# user token
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user_token = st.text_input("Enter your Hugging Face token", value="", type="password")
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user_token = user_token.strip()
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# add submit button
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submit_button = st.button("Submit")
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if user_token != "" and submit_button:
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user_info = utils.user_authentication(token=user_token)
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if "error" in user_info:
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st.error("Invalid token")
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return
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if user_info["emailVerified"] is False:
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st.error("Please verify your email on Hugging Face Hub")
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return
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current_date_time = datetime.now()
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private = False
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if current_date_time >= config.competition_info.end_date:
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private = True
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get_subs(user_info, private=private)
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if __name__ == "__main__":
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app()
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pages/4_π_Public Leaderboard.py
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import streamlit as st
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import utils
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def app():
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st.set_page_config(page_title="Public Leaderboard", page_icon="π€")
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st.markdown("## Public Leaderboard")
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lb = utils.fetch_leaderboard(private=False)
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st.table(lb)
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if __name__ == "__main__":
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app()
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pages/5_π_Private Leaderboard.py
DELETED
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from datetime import datetime
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import streamlit as st
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import config
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import utils
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def app():
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st.set_page_config(page_title="Private Leaderboard", page_icon="π€")
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st.markdown("## Private Leaderboard")
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current_date_time = datetime.now()
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if current_date_time >= config.competition_info.end_date:
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st.header("Private Leaderboard")
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lb = utils.fetch_leaderboard(private=True)
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st.table(lb)
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else:
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st.error("Private Leaderboard will be available after the competition ends")
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if __name__ == "__main__":
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app()
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utils.py
CHANGED
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for sub in user_submission_info["submissions"]:
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if sub["date"] == todays_date:
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todays_submissions += 1
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if todays_submissions >= config.
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return False
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return True
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for sub in user_submission_info["submissions"]:
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if sub["date"] == todays_date:
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todays_submissions += 1
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if todays_submissions >= config.competition_info.submission_limit:
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return False
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return True
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