Create start.py

start.py

@@ -0,0 +1,19 @@
+import subprocess
+import time
+import sys
+import os
+
+# Force Python to not buffer output
+os.environ["PYTHONUNBUFFERED"] = "1"
+
+print("🚀 [Orchestrator] Starting FastAPI backend on port 8000...", flush=True)
+backend = subprocess.Popen([sys.executable, "-m", "uvicorn", "api.main:app", "--host", "127.0.0.1", "--port", "8000"])
+
+print("⏳ [Orchestrator] Waiting 10 seconds for ML models to load...", flush=True)
+time.sleep(10)
+
+print("🎨 [Orchestrator] Starting Streamlit frontend on port 7860...", flush=True)
+frontend = subprocess.Popen([sys.executable, "-m", "streamlit", "run", "frontend/app.py", "--server.port", "7860", "--server.address", "0.0.0.0"])
+
+# Keep the container running by waiting for the frontend process
+frontend.wait()