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Maharshi Gor
commited on
Commit
·
60ece04
1
Parent(s):
4e77918
Registration page
Browse files- README.md +1 -1
- app.py +286 -0
- envs.py +26 -0
- formatting.py +33 -0
- signup.py +8 -0
README.md
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---
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-
title:
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emoji: 🦀
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colorFrom: yellow
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colorTo: indigo
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---
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title: QANTA 2025 Registration
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emoji: 🦀
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colorFrom: yellow
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colorTo: indigo
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app.py
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import json
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from datetime import datetime, timezone
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from pathlib import Path
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import gradio as gr
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from huggingface_hub import snapshot_download
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from loguru import logger
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from pydantic import BaseModel, Field
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from envs import API, REPO_ID, USERS_PATH, USERS_REPO
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from formatting import styled_error, styled_message, styled_warning
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css = """
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:root {
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color-scheme: light !important;
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--block-border-width: 0 !important;
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--section-header-text-weight: 600 !important;
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--section-header-text-size: 14px !important;
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--input-radius: var(--radius-xl) !important;
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--font-mono: "Space Mono", monospace !important;
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--text-sm: 12px !important;
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--text-md: 14px !important;
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--text-lg: 16px !important;
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--input-text-size: var(--text-sm) !important;
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--body-text-size: 14px !important;
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--input-background-fill-focus: var(--secondary-300) !important;
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// Button Colors
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--button-primary-background-fill: var(--primary-800) !important;
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--button-secondary-background-fill: var(--secondary-600) !important;
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--checkbox-label-text-color: var(--body-text-color) !important;
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--card-bg-color: #fcecd4;
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--card-btn-color: #D4E4FC;
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--card-btn-color-hover: #7DAEF6;
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--answer-bg-color: #f0f8ff;
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--hover-border-color: #121212;
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}
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:root .dark {
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color-scheme: dark !important;
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--block-border-width: 0 !important;
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--section-header-text-weight: 600 !important;
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--section-header-text-size: 14px !important;
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--input-radius: var(--radius-xl) !important;
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--font-mono: "Space Mono", monospace !important;
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--text-sm: 12px !important;
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--text-md: 14px !important;
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--text-lg: 16px !important;
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--input-text-size: var(--text-sm) !important;
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--body-text-size: 14px !important;
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--button-primary-background-fill: var(--neutral-100) !important;
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--button-secondary-background-fill: var(--secondary-300) !important;
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--button-primary-text-color: black !important;
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--button-secondary-text-color: black !important;
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--checkbox-label-text-color: var(--body-text-color) !important;
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--card-bg-color: #383127;
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--answer-bg-color: #1a2b3c;
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--hover-border-color: #ffffff;
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}
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.gradio-app {
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}
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.warning-header {
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color: red;
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}
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.neutral-header {
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color: blue;
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}
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.success-header {
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color: green;
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}
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.gradio-container {
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max-width: 1000px;
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margin: 0 auto;
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padding: 0 8px;
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}
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"""
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def restart_space():
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API.restart_space(repo_id=REPO_ID)
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def download_dataset_snapshot(repo_id, local_dir):
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try:
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logger.info(f"Downloading dataset snapshot from {repo_id} to {local_dir}")
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snapshot_download(
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repo_id=repo_id,
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local_dir=local_dir,
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repo_type="dataset",
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tqdm_class=None,
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)
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except Exception as e:
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logger.error(
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f"Error downloading dataset snapshot from {repo_id} to {local_dir}: {e}. Restarting space."
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)
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API.restart_space(repo_id=repo_id)
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download_dataset_snapshot(USERS_REPO, USERS_PATH)
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class User(BaseModel):
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"""
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Represents a user in the competition system, formatted for HuggingFace datasets.
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"""
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username: str = Field(description="HuggingFace username of the user")
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name: str = Field(description="Full name of the user")
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email: str = Field(description="Contact email of the user")
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affiliation: str = Field(description="Affiliation of the user")
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def create_user(
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username: str,
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name: str,
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email: str,
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affiliation: str,
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profile: gr.OAuthProfile | None,
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) -> User:
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"""
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Create a user for a tossup model.
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Args:
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name: Display name of the submission
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description: Detailed description of what the submission does
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user_email: Email of the user who created the submission
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workflow: The workflow configuration for the tossup model
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Returns:
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Submission object if successful, None if validation fails
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"""
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# Create the submission
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dt = datetime.now(timezone.utc)
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submission = User(
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username=username,
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name=name,
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email=email,
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affiliation=affiliation,
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created_at=dt.isoformat(),
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)
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return submission
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def get_user(username: str) -> User | None:
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"""
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Get a user from the registered users dataset.
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"""
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out_path = Path(f"{USERS_PATH}/{username}.json")
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if not out_path.exists():
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return None
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with out_path.open("r") as f:
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user_dict = json.load(f)
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return User.model_validate(user_dict)
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def is_user_logged_in(profile: gr.OAuthProfile | None) -> bool:
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"""
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Check if a user is logged in.
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"""
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return profile is not None
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def user_signup(
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name: str,
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email: str,
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affiliation: str,
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profile: gr.OAuthProfile | None = None,
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) -> User:
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"""
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Sign up for the competition.
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"""
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if profile is None:
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return styled_error(
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"Please sign in using your HuggingFace account to register for the competition."
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)
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try:
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username = profile.username
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user = get_user(username)
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new_user = create_user(
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username=username,
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name=name,
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email=email,
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affiliation=affiliation,
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profile=profile,
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)
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# Convert to dictionary format
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user_dict = new_user.model_dump()
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# Upload to HuggingFace dataset
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updated = bool(user)
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API.upload_file(
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path_or_fileobj=json.dumps(user_dict, indent=2).encode(),
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path_in_repo=f"{username}.json",
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repo_id=USERS_REPO,
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repo_type="dataset",
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commit_message=f"{'Update' if updated else 'Add'} user {username}",
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)
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return styled_message(
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f"Successfully {'updated' if updated else 'registered'} user {username} for the competition!<br>"
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)
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except Exception as e:
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logger.exception(e)
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return styled_error(
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"Error registering for the competition. Please try again later, or contact the organizers at <br><a href='mailto:[email protected]'>[email protected]</a>."
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)
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def load_user_info(profile: gr.OAuthProfile | None):
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if profile is None:
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return (
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(
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value="<h2 class='warning-header'>Please sign in using your HuggingFace account to register for the competition.</h2>",
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),
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)
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user = get_user(profile.username)
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if user is None:
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return (
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gr.update(interactive=True),
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gr.update(interactive=True),
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gr.update(interactive=True),
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gr.update(interactive=True, value="Register"),
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gr.update(
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value="<h2 class='neutral-header'>Fill in your details below to register for the competition.</h2>",
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),
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)
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return (
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gr.update(interactive=True, value=user.name),
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gr.update(interactive=True, value=user.email),
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gr.update(interactive=True, value=user.affiliation),
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gr.update(interactive=True, value="Update Information"),
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gr.update(
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value="<h2 class='success-header'>You are already registered! You can update your details below.</h2>",
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),
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)
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with gr.Blocks(
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title="Register - QANTA 2025 Quizbowl System Submission", css=css
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) as demo:
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gr.Markdown("# Register for QANTA 2025 Quizbowl System Submission")
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with gr.Row():
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with gr.Column():
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# HuggingFace Login Button
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hf_login_btn = gr.LoginButton(scale=1)
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header = gr.HTML("<h2>Fill in your details below</h2>")
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# Registration form
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name = gr.Textbox(label="Full Name", placeholder="Enter your full name")
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email = gr.Textbox(label="Contact Email", placeholder="Enter your email")
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affiliation = gr.Textbox(
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label="Affiliation",
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placeholder="Enter your organization or institution",
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)
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submit_btn = gr.Button("Register")
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status = gr.Markdown()
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submit_btn.click(
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fn=user_signup,
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inputs=[name, email, affiliation],
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outputs=[status],
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)
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demo.load(
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load_user_info,
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inputs=[],
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outputs=[name, email, affiliation, submit_btn, header],
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)
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demo.queue(default_concurrency_limit=40).launch()
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envs.py
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import os
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from huggingface_hub import HfApi
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# Info to change for your repository
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# ----------------------------------
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TOKEN = os.environ.get("HF_TOKEN") # A read/write token for your org
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# Change to your org - don't forget to create a results and request dataset, with the correct format!
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OWNER = "qanta-challenge"
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REPO_ID = f"{OWNER}/register"
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USERS_REPO = f"{OWNER}/registered-users"
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DOCS_REPO_URL = "https://github.com/qanta-challenge/QANTA25"
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DOCS_REPO_BRANCH = "main"
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# If you setup a cache later, just change HF_HOME
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CACHE_PATH = os.getenv("HF_HOME", ".")
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# Local caches
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USERS_PATH = os.path.join(CACHE_PATH, "registered-users")
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API = HfApi(token=TOKEN)
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formatting.py
ADDED
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1 |
+
def model_hyperlink(link, model_name):
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2 |
+
return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>'
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3 |
+
|
4 |
+
|
5 |
+
def make_clickable_model(model_name):
|
6 |
+
link = f"https://huggingface.co/{model_name}"
|
7 |
+
return model_hyperlink(link, model_name)
|
8 |
+
|
9 |
+
|
10 |
+
def styled_error(error):
|
11 |
+
return f"<p style='color: red; font-size: 20px; text-align: center;'>{error}</p>"
|
12 |
+
|
13 |
+
|
14 |
+
def styled_warning(warn):
|
15 |
+
return f"<p style='color: orange; font-size: 20px; text-align: center;'>{warn}</p>"
|
16 |
+
|
17 |
+
|
18 |
+
def tiny_styled_warning(warn):
|
19 |
+
return f"<div class='md' style='color: crimson; font-size: 12px; text-align: left;'>{warn}</div>"
|
20 |
+
|
21 |
+
|
22 |
+
def styled_message(message):
|
23 |
+
return (
|
24 |
+
f"<p style='color: green; font-size: 20px; text-align: center;'>{message}</p>"
|
25 |
+
)
|
26 |
+
|
27 |
+
|
28 |
+
def has_no_nan_values(df, columns):
|
29 |
+
return df[columns].notna().all(axis=1)
|
30 |
+
|
31 |
+
|
32 |
+
def has_nan_values(df, columns):
|
33 |
+
return df[columns].isna().any(axis=1)
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signup.py
ADDED
@@ -0,0 +1,8 @@
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|
1 |
+
import json
|
2 |
+
from datetime import datetime, timezone
|
3 |
+
|
4 |
+
import gradio as gr
|
5 |
+
from pydantic import BaseModel, Field
|
6 |
+
|
7 |
+
from envs import API, USERS_REPO
|
8 |
+
from formatting import styled_error, styled_message, styled_warning
|