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#!/usr/bin/env python3
"""
ZamAI Model Upload Script
This script uploads the ZamAI Multilingual Embeddings model to Hugging Face Hub
"""
import os
from huggingface_hub import HfApi, create_repo, upload_folder
from pathlib import Path
def upload_to_hf():
"""Upload the ZamAI model to Hugging Face Hub"""
# Read the HF token
with open('HF-Token.txt', 'r') as f:
token = f.read().strip()
# Initialize HF API
api = HfApi(token=token)
# Repository details
repo_id = "tasal9/Multilingual-ZamAI-Embeddings"
repo_type = "model"
print(f"🚀 Uploading ZamAI Multilingual Embeddings to {repo_id}")
try:
# Create repository if it doesn't exist
create_repo(
repo_id=repo_id,
token=token,
repo_type=repo_type,
exist_ok=True,
private=False
)
print(f"✅ Repository {repo_id} is ready")
# Upload the entire folder
api.upload_folder(
folder_path=".",
repo_id=repo_id,
repo_type=repo_type,
token=token,
commit_message="Upload ZamAI Multilingual Embeddings model",
ignore_patterns=[".git/", "__pycache__/", "*.pyc", "HF-Token.txt", "chroma_db/"]
)
print(f"🎉 Successfully uploaded to https://huggingface.co/{repo_id}")
print("Your model is now live on Hugging Face Hub!")
except Exception as e:
print(f"❌ Error uploading to Hugging Face: {str(e)}")
return False
return True
if __name__ == "__main__":
upload_to_hf()
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