Create setup.py

setup.py

@@ -0,0 +1,40 @@
+#!/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")