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31d8d1c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 | """Deploy a clone of the public demo Space (Tachyeon/afp-indian-classical-demo)
to your own Hugging Face account.
What this does:
1. Verifies your HF token has the required permissions
2. Snapshots the upstream public demo Space (~537 MB; uses HF's CDN, fast)
3. Creates a new Space under your account
4. Uploads the snapshot to your Space
5. Waits for the build + prints the live URL
Usage:
# one-shot
HF_TOKEN=<your_token> python deploy.py --repo-name my-afp-demo
# or explicit user
HF_TOKEN=<your_token> python deploy.py --user <your_hf_username> --repo-name my-afp-demo
You'll need an HF token (https://huggingface.co/settings/tokens) with `write` scope.
Output:
Space URL such as https://huggingface.co/spaces/<your_user>/my-afp-demo
"""
from __future__ import annotations
import argparse
import os
import sys
import tempfile
import time
from pathlib import Path
UPSTREAM = "Tachyeon/afp-indian-classical-demo"
def main() -> int:
ap = argparse.ArgumentParser()
ap.add_argument("--upstream", default=UPSTREAM,
help="The public Space to clone (default: %(default)s)")
ap.add_argument("--repo-name", required=True,
help="Name of the new Space under your account (e.g., 'my-afp-demo')")
ap.add_argument("--user", default=None,
help="Your HF username/org (defaults to whoami)")
ap.add_argument("--private", action="store_true",
help="Create as a private Space (default: public)")
ap.add_argument("--dry-run", action="store_true")
args = ap.parse_args()
token = os.environ.get("HF_TOKEN") or os.environ.get("HUGGINGFACE_TOKEN")
if not token:
# Try the standard CLI-login cache file
cache = Path.home() / ".cache" / "huggingface" / "token"
if cache.exists():
token = cache.read_text().strip()
if not token:
print("ERROR: no HF token found.")
print(" Set HF_TOKEN env var, or run `huggingface-cli login` first.")
print(" Get a token at https://huggingface.co/settings/tokens (need write scope).")
return 1
try:
from huggingface_hub import HfApi, snapshot_download
except ImportError:
print("ERROR: huggingface_hub not installed. Install: pip install 'huggingface_hub>=0.30'")
return 1
api = HfApi(token=token)
# 1. Verify token + identity
print(f"[1/5] verifying token...")
me = api.whoami()
print(f" authed as: {me['name']} (email: {me.get('email')})")
owner = args.user or me["name"]
target = f"{owner}/{args.repo_name}"
print(f" target Space: {target} (private={args.private})")
if args.dry_run:
print("\n--dry-run: skipping snapshot + create + upload")
return 0
# 2. Snapshot upstream public Space
print(f"\n[2/5] snapshotting upstream {args.upstream} ...")
t0 = time.time()
snap_dir = tempfile.mkdtemp(prefix="afp_demo_snap_")
snapshot_download(
repo_id=args.upstream,
repo_type="space",
local_dir=snap_dir,
token=token,
)
n_files = sum(1 for _ in Path(snap_dir).rglob("*") if _.is_file())
total_mb = sum(p.stat().st_size for p in Path(snap_dir).rglob("*") if p.is_file()) / 1e6
print(f" pulled {n_files} files, {total_mb:.1f} MB in {time.time()-t0:.0f}s")
# 3. Create target Space
print(f"\n[3/5] creating Space {target} ...")
repo_url = api.create_repo(
repo_id=target,
repo_type="space",
space_sdk="gradio",
private=args.private,
exist_ok=True,
)
print(f" created: {repo_url}")
# 4. Upload everything
print(f"\n[4/5] uploading snapshot → {target} (LFS auto-handled) ...")
t0 = time.time()
commit = api.upload_folder(
folder_path=snap_dir,
repo_id=target,
repo_type="space",
commit_message=f"Deploy clone of {args.upstream}",
ignore_patterns=[".git", ".git/**", "__pycache__", "*.pyc"],
)
print(f" pushed in {time.time()-t0:.0f}s")
print(f" commit: {commit}")
# 5. Wait for build
print(f"\n[5/5] waiting for Space to build + start (typically 5-15 min)...")
print(f" monitor at: https://huggingface.co/spaces/{target}")
print(f" app file: app.py · sdk: gradio 6.14.0 · python 3.11")
prev_stage = None
start = time.time()
while True:
try:
rt = api.get_space_runtime(repo_id=target)
stage = rt.stage
except Exception as e:
print(f" [warn] runtime fetch failed: {e}")
stage = "UNKNOWN"
if stage != prev_stage:
print(f" [{int(time.time()-start):4d}s] stage = {stage}")
prev_stage = stage
if stage in ("RUNNING", "RUNTIME_ERROR", "BUILD_ERROR"):
break
if time.time() - start > 1800: # 30 min hard cap
print(" [timeout] giving up after 30 minutes — check the Space UI directly")
break
time.sleep(20)
if stage == "RUNNING":
print(f"\n✓ DEPLOYED — live at https://huggingface.co/spaces/{target}")
return 0
else:
print(f"\n✗ Build stuck at stage={stage}. Check logs:")
print(f" https://huggingface.co/spaces/{target}/logs")
return 1
if __name__ == "__main__":
sys.exit(main())
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