V6.5-7ds cleanup: remove legacy scripts/upload_to_hf.py

scripts/upload_to_hf.py

@@ -1,111 +0,0 @@
-#!/usr/bin/env python3
-"""upload_to_hf.py — Upload do BiGRU_T_version para HuggingFace Hub.
-
-Faz upload de:
-- model_final/pytorch_model.bin
-- model_final/config.json
-- model_final/tokenizer/tokenizer.json
-- training_report.json
-- README.md
-- src/ (código fonte)
-- scripts/ (scripts de treino/smoke test)
-- docs/ (análise matemática)
-
-Repositório destino: PowerMachine/BiGRU_T_version (public)
-
-Uso:
-    export HF_TOKEN="hf_xxx"
-    python scripts/upload_to_hf.py
-"""
-from __future__ import annotations
-
-import os
-import sys
-from pathlib import Path
-
-from huggingface_hub import HfApi, create_repo
-
-
-def main():
-    token = os.environ.get("HF_TOKEN")
-    if not token:
-        print("ERROR: HF_TOKEN not set")
-        sys.exit(1)
-
-    repo_id = "PowerMachine/BiGRU_T_version"
-    project_dir = Path("/home/z/my-project/BiGRU_T_version")
-
-    print(f"Uploading to {repo_id} (public)...")
-
-    api = HfApi(token=token)
-
-    # Cria repo (idempotente)
-    try:
-        create_repo(repo_id, repo_type="model", token=token, private=False, exist_ok=True)
-        print(f"  Repo created/exists: {repo_id}")
-    except Exception as e:
-        print(f"  Warning creating repo: {e}")
-
-    # Upload de arquivos individuais
-    files_to_upload = [
-        ("README.md", "README.md"),
-        ("requirements.txt", "requirements.txt"),
-        ("training_report.json", "training_report.json"),
-        ("model_final/config.json", "config.json"),
-        ("model_final/pytorch_model.bin", "pytorch_model.bin"),
-        ("model_final/tokenizer/tokenizer.json", "tokenizer/tokenizer.json"),
-        ("docs/analysis.md", "docs/analysis.md"),
-    ]
-
-    for src, dst in files_to_upload:
-        src_path = project_dir / src
-        if not src_path.exists():
-            print(f"  SKIP (not found): {src}")
-            continue
-        print(f"  Uploading {src} → {dst}...")
-        try:
-            api.upload_file(
-                path_or_fileobj=str(src_path),
-                path_in_repo=dst,
-                repo_id=repo_id,
-                repo_type="model",
-                token=token,
-            )
-            print(f"    OK")
-        except Exception as e:
-            print(f"    FAIL: {e}")
-
-    # Upload de diretórios como pastas
-    dirs_to_upload = [
-        ("src", "src"),
-        ("scripts", "scripts"),
-    ]
-
-    for src_dir, dst_dir in dirs_to_upload:
-        src_path = project_dir / src_dir
-        if not src_path.exists():
-            print(f"  SKIP (not found): {src_dir}/")
-            continue
-        print(f"  Uploading {src_dir}/ → {dst_dir}/ ...")
-        try:
-            api.upload_folder(
-                folder_path=str(src_path),
-                path_in_repo=dst_dir,
-                repo_id=repo_id,
-                repo_type="model",
-                token=token,
-                ignore_patterns=["__pycache__", "*.pyc", ".pytest_cache", "_temp_checkpoints"],
-            )
-            print(f"    OK")
-        except Exception as e:
-            print(f"    FAIL: {e}")
-
-    print(f"\nUpload complete: https://huggingface.co/{repo_id}")
-
-    # Apaga token do ambiente (especificação do usuário)
-    del os.environ["HF_TOKEN"]
-    print("HF_TOKEN apagado do ambiente")
-
-
-if __name__ == "__main__":
-    main()