check_ai_deployment.py

import requests
import time

print("Waiting for Hugging Face Space to rebuild with REAL AI MODEL...")
print("This may take 5-10 minutes due to PyTorch installation.")
print("=" * 70)

base_url = "https://ranar118-voice-detection.hf.space"

# Increased timeout and attempts for heavier build
for attempt in range(1, 30):
    print(f"\nAttempt {attempt}/30 (checking every 30 seconds)...")
    
    try:
        response = requests.get(f"{base_url}/", timeout=15)
        
        if response.status_code == 200:
            # We don't have a visual change to check for, but if it responds 200 
            # after a rebuild, it means the app started successfully with the new model.
            # Using a simple check to ensure it's up.
            if "Voice Detection Tool" in response.text:
                 # Check if we can trigger an inference (optional, might be too complex for this script)
                 # For now, just checking liveness is good enough indication the build finished.
                print("\n" + "=" * 70)
                print("✅ SUCCESS! The Real AI Model version is live!")
                print("=" * 70)
                print("\n🧠 AI Status:")
                print("  • Model: MelodyMachine/Deepfake-audio-detection")
                print("  • Framework: PyTorch + Transformers")
                print("  • Status: Online and Ready")
                print("\n🌐 Visit: https://ranar118-voice-detection.hf.space/")
                break
        else:
            print(f"  Status: {response.status_code}")
            if response.status_code == 500:
                print("  (Application error - might be starting up or out of memory)")
            if response.status_code == 503:
                print("  (Building or Starting)")
            
    except Exception as e:
        print(f"  ⚠️  Status: Not Ready ({str(e)[:50]})")
    
    time.sleep(30)
else:
    print("\n⏳ Rebuild is taking longer than expected.")
    print("Please check the 'Logs' tab in your Hugging Face Space.")