Create repo_to_space_auto.py

repo_to_space_auto.py

@@ -0,0 +1,141 @@
+#!/usr/bin/env python3
+"""
+repo_to_space_auto.py
+---------------------
+공개 Git 레포를 Hugging Face Gradio Space로 자동 배포합니다.
+
+필요 환경변수
+-------------
+BAPI_TOKEN      : Brave Search API Key
+FRIENDLI_TOKEN  : Friendli Dedicated Endpoint Token
+
+CLI 인자
+--------
+--repo_url <URL>  : 원본 Git 레포 URL (필수*¹)
+--hf_token <TOK>  : 쓰기 권한 Hugging Face Access Token (필수*¹)
+--private         : 비공개 Space로 생성
+--hardware <tier> : 예) 't4-medium'  GPU 인스턴스 지정
+
+*¹ 인자를 생략하면 동명 환경변수(REPO_URL, HF_TOKEN)가 대신 사용됩니다.
+"""
+
+import os, sys, json, argparse, subprocess, tempfile, textwrap, requests, shutil
+from pathlib import Path
+import git                                   # GitPython
+from huggingface_hub import HfApi, login     # HF Hub SDK
+
+# ---------- Brave Search 헬퍼 ---------- #
+def brave_search_repo(repo_url: str, count: int = 5) -> list[dict]:
+    api_key = os.getenv("BAPI_TOKEN")
+    if not api_key:
+        raise RuntimeError("환경변수 BAPI_TOKEN이 설정돼 있지 않습니다.")
+    headers = {"X-Subscription-Token": api_key, "Accept": "application/json"}
+    params  = {"q": f'site:github.com "{repo_url}"', "count": count, "search_lang": "en"}
+    resp = requests.get("https://api.search.brave.com/res/v1/web/search",
+                        headers=headers, params=params, timeout=10)
+    resp.raise_for_status()
+    return resp.json().get("web", {}).get("results", [])
+
+# ---------- Friendli LLM 헬퍼 ---------- #
+def friendli_generate_scaffold(context: str) -> dict:
+    token = os.getenv("FRIENDLI_TOKEN")
+    if not token:
+        raise RuntimeError("환경변수 FRIENDLI_TOKEN이 설정돼 있지 않습니다.")
+    payload = {
+        "model": "dep89a2fld32mcm",
+        "messages": [
+            {"role": "system",
+             "content": ("You are an expert Hugging Face Space architect. "
+                         "Given repository context, output JSON with keys "
+                         "`app_py`, `requirements_txt`, `need_docker` (bool), "
+                         "`dockerfile` (if needed) and `summary`.")},
+            {"role": "user", "content": context}
+        ],
+        "max_tokens": 16384,
+        "top_p": 0.8,
+        "stream": False
+    }
+    headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
+    r = requests.post("https://api.friendli.ai/dedicated/v1/chat/completions",
+                      json=payload, headers=headers, timeout=120)
+    r.raise_for_status()
+    return json.loads(r.json()["choices"][0]["message"]["content"])
+
+# ---------- 메인 배포 로직 ---------- #
+def deploy(repo_url: str, hf_token: str, private=False, hardware=None) -> str:
+    """레포를 Gradio Space로 배포하고 Space URL 반환."""
+    login(hf_token)
+    api   = HfApi(token=hf_token)
+    user  = api.whoami()["name"]
+    space = f"{user}/{Path(repo_url).stem.lower().replace('.', '-')}"
+    api.create_repo(space, repo_type="space", space_sdk="gradio",
+                    private=private, exist_ok=True, hardware=hardware)
+
+    with tempfile.TemporaryDirectory() as work:
+        # 1) Brave 메타데이터
+        brave_meta = brave_search_repo(repo_url)
+
+        # 2) 원본 레포 클론
+        src = Path(work) / "src"
+        git.Repo.clone_from(repo_url, src)
+
+        readme = ""
+        if (src / "README.md").exists():
+            readme = (src / "README.md").read_text(encoding="utf-8", errors="ignore")[:4000]
+
+        tree_out = subprocess.run(["bash", "-lc", f"tree -L 2 {src} | head -n 40"],
+                                  text=True, capture_output=True).stdout
+
+        context = textwrap.dedent(f"""
+        ## Brave meta
+        {json.dumps(brave_meta, ensure_ascii=False, indent=2)}
+
+        ## Repository tree (depth 2)
+        {tree_out}
+
+        ## README (first 4 kB)
+        {readme}
+        """)
+
+        # 3) Friendli 스캐폴드 생성
+        scaffold = friendli_generate_scaffold(context)
+
+        # 4) Space 레포 클론 & 파일 쓰기
+        dst = Path(work) / "space"
+        api.clone_repo(space, local_dir=dst)
+
+        (dst / "app.py").write_text(scaffold["app_py"], encoding="utf-8")
+        (dst / "requirements.txt").write_text(scaffold["requirements_txt"], encoding="utf-8")
+        if scaffold.get("need_docker"):
+            (dst / "Dockerfile").write_text(scaffold["dockerfile"], encoding="utf-8")
+        (dst / "README.md").write_text(scaffold["summary"], encoding="utf-8")
+
+        subprocess.run(["git", "-C", dst, "add", "."], check=True)
+        subprocess.run(["git", "-C", dst, "commit", "-m", "Initial auto-deploy"], check=True)
+        subprocess.run(["git", "-C", dst, "push"], check=True)
+
+    return f"https://huggingface.co/spaces/{space}"
+
+# ---------- CLI 엔트리 ---------- #
+def main():
+    parser = argparse.ArgumentParser(description="Git 레포를 Hugging Face Gradio Space로 자동 배포")
+    parser.add_argument("--repo_url", default=os.getenv("REPO_URL"),
+                        help="원본 Git 레포지토리 URL (or env REPO_URL)")
+    parser.add_argument("--hf_token", default=os.getenv("HF_TOKEN"),
+                        help="쓰기 권한 HF 토큰 (or env HF_TOKEN)")
+    parser.add_argument("--private", action="store_true", help="비공개 Space 생성")
+    parser.add_argument("--hardware", default=None, help="예: 't4-medium'")
+    args = parser.parse_args()
+
+    if not args.repo_url or not args.hf_token:
+        parser.error("--repo_url 및 --hf_token (또는 동명 환경변수) 둘 다 필요합니다.")
+
+    try:
+        url = deploy(args.repo_url, args.hf_token, args.private, args.hardware)
+        print(f"✅  배포 성공: {url}")
+    except Exception as e:
+        print(f"❌  배포 실패: {e}", file=sys.stderr)
+        sys.exit(1)
+
+if __name__ == "__main__":
+    main()