Prepare for HF Space deployment

Update demo.launch() to use Space defaults (no hardcoded port),
add Space README with YAML front matter.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

README.md

@@ -1,118 +1,36 @@
-# HF Leaderboard Watcher — daily email digest
+---
+title: HF Hub Benchmark Dashboard
+emoji: 🏆
+colorFrom: purple
+colorTo: indigo
+sdk: gradio
+sdk_version: 5.0.0
+app_file: app.py
+pinned: false
+short_description: Live dashboard for all official benchmark leaderboards on the HF Hub
+---
 
-Polls official benchmark leaderboards on the [Hugging Face Hub](https://huggingface.co/docs/hub/leaderboard-data-guide),
-diffs against local state, and emails you a digest of new model entries.
+# HF Hub Benchmark Dashboard
 
-Stdlib only and packaged as a [uv single-file script](https://docs.astral.sh/uv/guides/scripts/) (PEP 723 inline metadata). uv handles the Python interpreter — no virtualenv, no `pip install`.
+Live dashboard for every official benchmark leaderboard published on the Hugging Face Hub.
 
-## Files
+## Features
 
-- `watch.py` — the watcher.
-- `config.json` — created on first run; fill in your SMTP details.
-- `state.json` — auto; tracks already-seen `(benchmark, model)` pairs.
-- `watcher.log` — every run appends here.
-- `cron.log` — captured stdout/stderr from cron runs.
+- Sidebar navigation by category (Knowledge, Math, Code, Agents, Vision, …)
+- Per-benchmark leaderboard with rank medals, model links, and provider chips
+- Inference provider enrichment from [router.huggingface.co](https://router.huggingface.co): price/1M tokens (in & out), TTFT, throughput, context length
+- License and parameter count per model (from the HF models API)
+- Filter to only show models with live inference providers
+- 6-hour cache with manual refresh
 
-## 1. Configure SMTP
+## HF Token
 
-Edit `config.json` (or set env vars in your crontab — see below):
+Set `HF_TOKEN` as a Space secret to access gated benchmarks (e.g. HLE).
+Public benchmarks work without a token.
 
-```json
-{
-  "smtp_host": "smtp.gmail.com",
-  "smtp_port": 465,
-  "smtp_user": "you@gmail.com",
-  "smtp_password": "<app password>",
-  "email_from": "you@gmail.com",
-  "email_to": "you@gmail.com"
-}
-```
-
-For **Gmail**, generate an App Password at
-<https://myaccount.google.com/apppasswords> (requires 2FA).
-Other SMTP providers (Fastmail, Proton Bridge, SES, Mailgun, etc.) work
-the same way — port 465 = SMTPS, anything else = STARTTLS.
-
-Test it:
-
-```sh
-~/leaderboard-watcher/watch.py --test-email
-# or explicitly:
-uv run --script ~/leaderboard-watcher/watch.py --test-email
-```
-
-## 2. Cron job (already installed)
-
-```
-0 9 * * * cd /Users/nathan/leaderboard-watcher && /Users/nathan/.cargo/bin/uv run --script watch.py >> cron.log 2>&1
-```
-
-This runs every day at **09:00** local time.
-
-> **macOS gotcha**: `cron` needs **Full Disk Access**. Go to System
-> Settings → Privacy & Security → Full Disk Access → click `+` → press
-> ⌘⇧G → enter `/usr/sbin/cron` → enable. (You already have another
-> cron job running, so this is probably already done.)
-
-Useful commands:
-
-```sh
-crontab -l                                  # see installed jobs
-crontab -e                                  # edit
-tail -f ~/leaderboard-watcher/watcher.log   # tail the run log
-tail -f ~/leaderboard-watcher/cron.log      # tail cron's stdout/stderr
-```
-
-To change cadence, edit the `0 9 * * *` part:
-- `0 9 * * 1-5` = weekdays at 9am
-- `0 9,18 * * *` = 9am and 6pm
-- `*/30 * * * *` = every 30 minutes
-
-## 3. CLI flags
-
-The shebang line (`#!/usr/bin/env -S uv run --script`) makes the file directly executable:
-
-```sh
-./watch.py                # run one cycle (what cron calls)
-./watch.py --list         # print all official benchmark IDs
-./watch.py --reset        # delete state.json (next run reseeds silently)
-./watch.py --test-email   # send a test email and exit
-```
-
-Equivalent explicit form: `uv run --script watch.py [...]`.
-
-## How it works
-
-1. `GET /api/datasets?filter=benchmark:official` to discover ~22 benchmarks.
-   (Override with `"benchmarks": ["SWE-bench/SWE-bench_Verified", "cais/hle"]` in `config.json` to watch a fixed list.)
-2. `GET /api/datasets/{id}/leaderboard` per benchmark.
-3. New `modelId`s relative to `state.json` are collected.
-4. If there are any, an HTML+text digest email is sent grouped by benchmark
-   with rank, score, verified flag, and links to each model card.
-5. State is updated so each new model is reported only once.
-
-The first run is **silent** (it just seeds state). Set
-`silent_first_run: false` if you want to receive the entire current state
-on first run instead.
-
-By default no email is sent on days with zero new entries
-(`skip_email_when_empty: true`).
-
-## Gated benchmarks
-
-`cais/hle` and similar gated datasets need an HF token. The script
-auto-uses your `~/.cache/huggingface/token` (created by `hf auth login`),
-or you can set `HF_TOKEN` in the environment. **Cron has no access to
-your shell environment**, so if you rely on env vars, set them inside the
-crontab line itself, e.g.:
-
-```cron
-0 9 * * * SMTP_PASSWORD=xxxxx HF_TOKEN=hf_yyyy cd /Users/nathan/leaderboard-watcher && /Users/nathan/.cargo/bin/uv run --script watch.py >> cron.log 2>&1
-```
-
-## Uninstall
+## Local run
 
-```sh
-crontab -l | grep -v leaderboard-watcher | crontab -
-rm -rf ~/leaderboard-watcher
+```bash
+pip install gradio>=5.0.0
+python app.py
 ```

app.py

@@ -845,4 +845,4 @@ def build_app() -> gr.Blocks:
 
 if __name__ == "__main__":
     demo = build_app()
-    demo.launch(server_name="0.0.0.0", server_port=7861)
+    demo.launch()