setup.py

#!/usr/bin/env python3
import os
import sys
import subprocess
import requests

def download_model_weights():
    """Download pre-trained model weights"""
    models_dir = "models"
    os.makedirs(models_dir, exist_ok=True)
    
    # URLs to model weights (placeholder - use your actual trained models)
    model_urls = {
        "chest_xray.pth": "https://example.com/models/chest_xray.pth",
        "ultrasound.pth": "https://example.com/models/ultrasound.pth"
    }
    
    print("Downloading model weights...")
    for filename, url in model_urls.items():
        filepath = os.path.join(models_dir, filename)
        if not os.path.exists(filepath):
            try:
                response = requests.get(url, stream=True)
                with open(filepath, 'wb') as f:
                    for chunk in response.iter_content(chunk_size=8192):
                        f.write(chunk)
                print(f"Downloaded {filename}")
            except Exception as e:
                print(f"Failed to download {filename}: {e}")

if __name__ == "__main__":
    print("Setting up Rural Diagnostic Assistant...")
    
    # Install requirements
    subprocess.check_call([sys.executable, "-m", "pip", "install", "-r", "requirements.txt"])
    
    # Download models
    download_model_weights()
    
    print("Setup complete! Run: streamlit run app.py")