upload_to_hf.py

from huggingface_hub import HfApi
import os

TOKEN = os.environ.get("HF_TOKEN", "YOUR_TOKEN_HERE")
REPO_ID = "joytheslothh/BacSense-API"
REPO_TYPE = "space"

# Files/dirs to skip (frontend, docs, git artifacts)
SKIP_DIRS = {"frontend", ".git", "__pycache__", ".gitignore"}
SKIP_FILES = {"push_log.txt", "push2.txt", "push_final.txt", "upload_to_hf.py",
              "render.yaml", "BacSense_v2_Technical_Documentation.docx",
              "BacSense_v2_Technical_Documentation.docx-1.pdf",
              "BacSense_v2_Technical_Documentation.docx.txt"}
SKIP_EXTS = {".ps1"}

api = HfApi(token=TOKEN)
base = os.path.abspath(os.path.dirname(__file__))

files_to_upload = []
for root, dirs, files in os.walk(base):
    # Prune skip dirs in-place
    dirs[:] = [d for d in dirs if d not in SKIP_DIRS and not d.startswith('.')]
    for fname in files:
        if fname in SKIP_FILES:
            continue
        if any(fname.endswith(ext) for ext in SKIP_EXTS):
            continue
        full_path = os.path.join(root, fname)
        rel_path = os.path.relpath(full_path, base).replace("\\", "/")
        files_to_upload.append((full_path, rel_path))

print(f"Uploading {len(files_to_upload)} files to {REPO_ID}...\n")
for i, (local, remote) in enumerate(files_to_upload, 1):
    size_mb = os.path.getsize(local) / (1024*1024)
    print(f"[{i}/{len(files_to_upload)}] {remote} ({size_mb:.2f} MB)")
    api.upload_file(
        path_or_fileobj=local,
        path_in_repo=remote,
        repo_id=REPO_ID,
        repo_type=REPO_TYPE,
    )

print("\n✅ All files uploaded successfully!")