upload_model.py

import os
from huggingface_hub import HfApi, create_repo, Repository
from transformers import AutoModelForCausalLM, AutoTokenizer

# Set your Hugging Face username and token (with write permission)
USERNAME = "your-username"   # replace
TOKEN = "hf_xxxxx"           # replace

REPO_ID = f"{USERNAME}/code-review-agent"
LOCAL_DIR = "./code-review-agent"

# 1. Create repo on Hub (if it doesn't exist)
try:
    create_repo(REPO_ID, token=TOKEN, private=False, exist_ok=True)
    print(f"Created/verified repo: {REPO_ID}")
except Exception as e:
    print(e)

# 2. Clone the repo locally
if not os.path.exists(LOCAL_DIR):
    repo = Repository(local_dir=LOCAL_DIR, clone_from=REPO_ID, use_auth_token=TOKEN)
else:
    # if already exists, just pull latest
    repo = Repository(local_dir=LOCAL_DIR, clone_from=REPO_ID, use_auth_token=TOKEN)
    repo.git_pull()

# 3. Download the model and tokenizer
print("Downloading distilgpt2 ...")
model = AutoModelForCausalLM.from_pretrained("distilgpt2")
tokenizer = AutoTokenizer.from_pretrained("distilgpt2")

# 4. Save them into the local repo
model.save_pretrained(LOCAL_DIR)
tokenizer.save_pretrained(LOCAL_DIR)

# 5. Create model card (README.md)
readme = """---
language: en
license: mit
tags:
- code-review
- agent
- text-generation
---

# Code Review Agent Model

This is a small language model (distilgpt2) that can be fine‑tuned to generate helpful code review comments.  
It is a starting point for building an AI that reviews pull requests.
"""
with open(os.path.join(LOCAL_DIR, "README.md"), "w") as f:
    f.write(readme)

# 6. Set up Git LFS for large files
# The Repository class may not handle LFS automatically, so we'll do it manually
import subprocess
subprocess.run(["git", "lfs", "install"], cwd=LOCAL_DIR)
subprocess.run(["git", "lfs", "track", "*.bin", "*.safetensors"], cwd=LOCAL_DIR)
subprocess.run(["git", "add", ".gitattributes"], cwd=LOCAL_DIR)

# 7. Commit and push
repo.git_add()
repo.git_commit("Initial upload of distilgpt2 model")
repo.git_push()
print("Model pushed to:", f"https://huggingface.co/{REPO_ID}")