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"""
Main application for Dynamic Highscores system.
This file integrates all components into a unified application.
"""
import os
import gradio as gr
import threading
import time
from database_schema import DynamicHighscoresDB
from auth import HuggingFaceAuth
from benchmark_selection import BenchmarkSelector, create_benchmark_selection_ui
from evaluation_queue import EvaluationQueue, create_model_submission_ui
from leaderboard import Leaderboard, create_leaderboard_ui
from sample_benchmarks import add_sample_benchmarks
from fastapi import FastAPI, Request, HTTPException
from fastapi.responses import FileResponse, HTMLResponse
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel
# Initialize components in main thread
db = DynamicHighscoresDB()
auth_manager = HuggingFaceAuth(db)
benchmark_selector = BenchmarkSelector(db, auth_manager)
evaluation_queue = EvaluationQueue(db, auth_manager)
leaderboard = Leaderboard(db)
# Initialize sample benchmarks if none exist
print("Checking for existing benchmarks...")
benchmarks = db.get_benchmarks()
if not benchmarks or len(benchmarks) == 0:
print("No benchmarks found. Adding sample benchmarks...")
try:
# Make sure the database path is clear
print(f"Database path: {db.db_path}")
# Import and call the function directly
num_added = add_sample_benchmarks()
print(f"Added {num_added} sample benchmarks.")
except Exception as e:
print(f"Error adding sample benchmarks: {str(e)}")
# Try direct DB insertion as fallback
try:
print("Attempting direct benchmark insertion...")
db.add_benchmark(
name="MMLU (Massive Multitask Language Understanding)",
dataset_id="cais/mmlu",
description="Tests knowledge across 57 subjects"
)
print("Added fallback benchmark.")
except Exception as inner_e:
print(f"Fallback insertion failed: {str(inner_e)}")
else:
print(f"Found {len(benchmarks)} existing benchmarks.")
# Custom CSS with theme awareness
css = """
/* Theme-adaptive colored info box */
.info-text {
background-color: rgba(53, 130, 220, 0.1);
padding: 12px;
border-radius: 8px;
border-left: 4px solid #3498db;
margin: 12px 0;
}
/* High-contrast text for elements - works in light and dark themes */
.info-text, .header, .footer, .tab-content,
button, input, textarea, select, option,
.gradio-container *, .markdown-text {
color: var(--text-color, inherit) !important;
}
/* Container styling */
.container {
max-width: 1200px;
margin: 0 auto;
}
/* Header styling */
.header {
text-align: center;
margin-bottom: 20px;
font-weight: bold;
font-size: 24px;
}
/* Footer styling */
.footer {
text-align: center;
margin-top: 40px;
padding: 20px;
border-top: 1px solid var(--border-color-primary, #eee);
}
/* Login section styling */
.login-section {
padding: 10px;
margin-bottom: 15px;
border-radius: 8px;
background-color: rgba(250, 250, 250, 0.1);
text-align: center;
}
"""
# Simple manual authentication check
def check_user(request: gr.Request):
if request:
username = request.headers.get("HF-User")
if username:
# User is logged in via HF Spaces
print(f"User logged in: {username}")
user = db.get_user_by_username(username)
if not user:
# Create user if they don't exist
print(f"Creating new user: {username}")
is_admin = (username == "Quazim0t0")
db.add_user(username, username, is_admin)
user = db.get_user_by_username(username)
return f"Logged in as: {username}"
return "Not logged in. Please <a href='/'>login</a> first."
# Start evaluation queue worker
def start_queue_worker():
# Wait a moment to ensure app is initialized
time.sleep(2)
try:
print("Starting evaluation queue worker...")
evaluation_queue.start_worker()
except Exception as e:
print(f"Error starting queue worker: {e}")
# Create Gradio app
with gr.Blocks(css=css, title="Dynamic Highscores") as app:
# Display login status
with gr.Row(elem_classes=["login-section"]):
login_status = gr.Markdown("Checking login status...")
gr.Markdown("# 🏆 Dynamic Highscores", elem_classes=["header"])
gr.Markdown("""
Welcome to Dynamic Highscores - a community benchmark platform for evaluating and comparing language models.
- **Add your own benchmarks** from HuggingFace datasets
- **Submit your models** for CPU-only evaluation
- **Compare performance** across different models and benchmarks
- **Filter results** by model type (Merge, Agent, Reasoning, Coding, etc.)
""", elem_classes=["info-text"])
# Main tabs
with gr.Tabs() as tabs:
with gr.TabItem("📊 Leaderboard", id=0):
leaderboard_ui = create_leaderboard_ui(leaderboard, db)
with gr.TabItem("🚀 Submit Model", id=1):
submission_ui = create_model_submission_ui(evaluation_queue, auth_manager, db)
with gr.TabItem("🔍 Benchmarks", id=2):
benchmark_ui = create_benchmark_selection_ui(benchmark_selector, auth_manager)
gr.Markdown("""
### About Dynamic Highscores
This platform allows users to select benchmarks from HuggingFace datasets and evaluate models against them.
Each user can submit one benchmark per day (admin users are exempt from this limit).
All evaluations run on CPU only to ensure fair comparisons.
Created by Quazim0t0
""", elem_classes=["footer"])
# Check login on page load
app.load(
fn=check_user,
inputs=[],
outputs=[login_status]
)
# Create a FastAPI app to handle the static login page
fastapi_app = FastAPI()
# Make sure to create a static directory and put the login.html file there
os.makedirs("static", exist_ok=True)
# Save the login HTML to a file
login_html_path = os.path.join("static", "login.html")
if not os.path.exists(login_html_path):
with open(login_html_path, "w") as f:
f.write("""<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width" />
<title>Dynamic Highscores Login</title>
<script src="https://unpkg.com/[email protected]/dist/es-module-shims.js"></script>
<script type="importmap">
{
"imports": {
"@huggingface/hub": "https://cdn.jsdelivr.net/npm/@huggingface/[email protected]/+esm"
}
}
</script>
<style>
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;
background-color: #f5f5f5;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
height: 100vh;
margin: 0;
padding: 20px;
}
.card {
background: white;
border-radius: 8px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
padding: 30px;
max-width: 500px;
width: 100%;
text-align: center;
}
h1 {
color: #333;
margin-top: 0;
}
.signin-btn {
cursor: pointer;
display: block;
margin: 20px auto;
transition: transform 0.3s ease;
}
.signin-btn:hover {
transform: scale(1.05);
}
.hidden {
display: none;
}
#status {
margin-top: 20px;
padding: 10px;
border-radius: 4px;
}
.success {
background-color: #d4edda;
color: #155724;
}
.loading {
background-color: #fff3cd;
color: #856404;
}
a.button {
display: inline-block;
background-color: #3498db;
color: white;
padding: 10px 20px;
border-radius: 4px;
text-decoration: none;
font-weight: bold;
margin-top: 20px;
}
a.button:hover {
background-color: #2980b9;
}
</style>
</head>
<body>
<div class="card">
<h1>Dynamic Highscores</h1>
<p>Sign in with your HuggingFace account to submit models and benchmarks.</p>
<img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/sign-in-with-huggingface-xl-dark.svg"
alt="Sign in with Hugging Face"
class="signin-btn"
id="signin">
<div id="status" class="hidden"></div>
<a href="/app" class="button hidden" id="continue-btn">Continue to Dynamic Highscores</a>
</div>
<script type="module">
import { oauthLoginUrl, oauthHandleRedirectIfPresent } from "@huggingface/hub";
const statusElement = document.getElementById("status");
const signinButton = document.getElementById("signin");
const continueButton = document.getElementById("continue-btn");
// Function to show status message
function showStatus(message, type) {
statusElement.textContent = message;
statusElement.className = type;
statusElement.classList.remove("hidden");
}
// Check if we're returning from OAuth redirect
async function checkLogin() {
try {
showStatus("Checking login status...", "loading");
// Check if we already have OAuth data in localStorage
let oauthResult = localStorage.getItem("oauth");
if (oauthResult) {
try {
oauthResult = JSON.parse(oauthResult);
} catch {
oauthResult = null;
}
}
// If not, check if we're returning from a redirect
if (!oauthResult) {
oauthResult = await oauthHandleRedirectIfPresent();
}
// If we have OAuth data, we're logged in
if (oauthResult) {
localStorage.setItem("oauth", JSON.stringify(oauthResult));
signinButton.classList.add("hidden");
showStatus(`Logged in as ${oauthResult.userInfo.name}`, "success");
continueButton.classList.remove("hidden");
} else {
statusElement.classList.add("hidden");
signinButton.classList.remove("hidden");
}
} catch (error) {
console.error("Error checking login:", error);
showStatus("Error checking login status", "error");
}
}
// Setup sign in button
signinButton.addEventListener("click", async () => {
try {
showStatus("Redirecting to HuggingFace login...", "loading");
window.location.href = await oauthLoginUrl({
redirectUrl: window.location.href,
scopes: ["openid", "profile"]
});
} catch (error) {
console.error("Error generating login URL:", error);
showStatus("Error starting login process", "error");
}
});
// Check login status when page loads
checkLogin();
</script>
</body>
</html>""")
# Create API endpoint for user registration
class UserInfo(BaseModel):
username: str
token: str
@fastapi_app.post("/api/register_user")
async def register_user(userinfo: UserInfo):
try:
# Create user in database if they don't exist
user = db.get_user_by_username(userinfo.username)
if not user:
is_admin = (userinfo.username == "Quazim0t0")
db.add_user(userinfo.username, userinfo.username, is_admin)
return {"status": "success"}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
# Serve static files
fastapi_app.mount("/static", StaticFiles(directory="static"), name="static")
# Root path serves the login page
@fastapi_app.get("/")
async def serve_login_page():
return FileResponse("static/login.html")
# App path serves the Gradio interface
@fastapi_app.get("/app")
async def serve_app():
# This will redirect to the Gradio interface
html_content = """
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="refresh" content="0;url=/gradio">
<title>Redirecting...</title>
</head>
<body>
Redirecting to Dynamic Highscores...
</body>
</html>
"""
return HTMLResponse(content=html_content)
# Mount Gradio app to FastAPI app
app = gr.mount_gradio_app(fastapi_app, app, path="/gradio")
# Start the queue worker
if __name__ == "__main__":
queue_thread = threading.Thread(target=start_queue_worker)
queue_thread.daemon = True
queue_thread.start()