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Initial Deployment: Best ViT Model
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import os
import sys
from pathlib import Path
try:
from huggingface_hub import HfApi, create_repo
except ImportError:
print("Error: huggingface_hub not found. Run: .venv/bin/pip install huggingface_hub")
sys.exit(1)
def deploy():
print("πŸš€ Cattle Breed Classifier Hugging Face Deployer")
print("-" * 50)
# 1. Get credentials securely
username = input("Enter your Hugging Face Username: ").strip()
space_name = input("Enter your desired Space Name (e.g. cattle-classifier): ").strip()
token = input("Enter your Hugging Face Write Token: ").strip()
if not username or not space_name or not token:
print("Error: All fields are required.")
sys.exit(1)
repo_id = f"{username}/{space_name}"
api = HfApi(token=token)
print(f"\n[1/3] Creating Space '{repo_id}' on Hugging Face...")
try:
create_repo(
repo_id=repo_id,
repo_type="space",
space_sdk="docker",
token=token,
exist_ok=True
)
print("βœ… Space created/verified successfully!")
except Exception as e:
print(f"❌ Failed to create space: {e}")
sys.exit(1)
print("\n[2/3] Uploading Application & Massive ViT Model...")
print("⏳ This may take several minutes depending on your internet upload speed (Model is ~460MB). Please wait...")
# Files to ignore (don't upload heavy training folders or virtual environments)
ignore_patterns = [
".venv/*",
".git/*",
"__pycache__/*",
"*.pyc",
"Cattle_Resized/*",
"ml/artifacts/checkpoints/cnn_best.pth",
"ml/artifacts/checkpoints/mlp_best.pth",
"ml/artifacts/checkpoints/resnet_best.pth",
# Ignore models dir except vit_best.pth and classes.txt
"frontend/node_modules/*"
]
try:
api.upload_folder(
folder_path=".",
repo_id=repo_id,
repo_type="space",
ignore_patterns=ignore_patterns,
commit_message="Initial Deployment: Best ViT Model"
)
print("βœ… Upload complete!")
except Exception as e:
print(f"❌ Failed to upload files: {e}")
sys.exit(1)
print(f"\n[3/3] Deployment Successful! πŸŽ‰")
print(f"Your application is now building in the cloud.")
print(f"View it live here: https://huggingface.co/spaces/{username}/{space_name}")
if __name__ == "__main__":
deploy()