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app.py

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+from __future__ import annotations
+
+from fastapi import FastAPI, Request
+from fastapi.responses import HTMLResponse
+from fastapi.staticfiles import StaticFiles
+from fastapi.templating import Jinja2Templates
+from pathlib import Path
+import csv
+from typing import List, Dict, Tuple
+
+APP_DIR = Path(__file__).resolve().parent
+CSV_PATH = APP_DIR / "leaderboard.csv"
+
+
+def load_leaderboard() -> Tuple[List[str], List[Dict[str, str]]]:
+    headers: List[str] = []
+    rows: List[Dict[str, str]] = []
+
+    with CSV_PATH.open("r", encoding="utf-8") as f:
+        reader = csv.DictReader(f)
+        headers = reader.fieldnames or []
+        for row in reader:
+            rows.append(dict(row))
+
+    # Sort by Mean (Task) descending
+    def parse_score(value: str) -> float:
+        try:
+            return float(value)
+        except Exception:
+            return float("-inf")
+
+    if "Mean (Task)" in headers:
+        rows.sort(key=lambda r: parse_score(r.get("Mean (Task)", "-inf")), reverse=True)
+
+    # Add rank
+    for index, row in enumerate(rows, start=1):
+        row["Rank"] = str(index)
+
+    if "Rank" not in headers:
+        headers = ["Rank"] + headers
+
+    return headers, rows
+
+
+app = FastAPI(title="Turkish Embedding Leaderboard")
+
+templates = Jinja2Templates(directory=str(APP_DIR / "templates"))
+app.mount("/static", StaticFiles(directory=str(APP_DIR / "static")), name="static")
+
+
+@app.get("/", response_class=HTMLResponse)
+async def index(request: Request) -> HTMLResponse:
+    headers, rows = load_leaderboard()
+    return templates.TemplateResponse(
+        "index.html",
+        {"request": request, "headers": headers, "rows": rows},
+    )