import glob
import json
import os
def generate_dashboard():
# Only read completed or valid structured log files (with valid seed)
files = glob.glob('models/*_s[0-9]*_results.json')
results = []
for f in files:
with open(f, 'r') as file:
try:
results.append(json.load(file))
except Exception:
pass
# Sort results to be predictable
results.sort(key=lambda x: (x.get('mode', ''), x.get('seed', 0)))
html_template = """
PentaNet vs BitNet - NeurIPS Dashboard
PentaNet Metrics Dashboard
Live interactive visualization of Model Training.
📊 Training Results Summary
Model Architecture
Seed
Parameters
Total Time
Best Perplexity (PPL)
Best Val Loss
📉 Perplexity Convergence
Algorithms:
Seeds:
⚖️ PentaNet Weight Entropy (Evolution of {-2 .. 2})
PentaNet Explorer:
"""
html_content = html_template.replace("DATA_PLACEHOLDER", json.dumps(results))
with open('dashboard.html', 'w') as f:
f.write(html_content)
print("✅ Interactive dashboard written to dashboard.html")
if __name__ == "__main__":
generate_dashboard()