File size: 1,344 Bytes
4fac968 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | #!/usr/bin/env python3
import json
from datetime import datetime
from huggingface_hub import HfApi
import os
# Use environment variable or local config file in production
HUB_TOKEN = "hf_PLACEHOLDER_KEY"
api = HfApi(token=HUB_TOKEN)
repo_id = "Viper14/hub-intelligence"
def scan_trends():
'''Scans HF for trending models matching targets.'''
results = []
for target in ["qwen2.5", "llama3"]:
# In a real scenario, this would use the hub_repo_search tool logic
print(f"Scanning for: {target}...")
results.append({"target": target, "status": "success", "timestamp": datetime.now().isoformat()})
return results
def main():
report = {
"scan_id": datetime.now().strftime("%Y%m%d-%H%M"),
"results": scan_trends(),
"sentinel_status": "active"
}
# Save locally for Sentinel to pick up, or upload directly if running remotely
with open(f"report_{report['scan_id']}.json", 'w') as f:
json.dump(report, f)
print("Report generated.")
if __name__ == "__main__":
main()
|