Fix deployment entry point and merge requirements

app.py

@@ -0,0 +1,19 @@
+import sys
+import os
+from pathlib import Path
+
+# Add backend to sys.path so we can import modules correctly
+# We add both backend/ and backend/code to the path
+backend_path = Path(__file__).parent / "backend"
+sys.path.append(str(backend_path))
+sys.path.append(str(backend_path / "code"))
+
+# Import the FastAPI app from main.py in the backend folder
+from main import app
+
+# For Hugging Face Spaces, the file must be named app.py or main.py
+# and the app instance must be called 'app'.
+if __name__ == "__main__":
+    import uvicorn
+    port = int(os.environ.get("PORT", 7860))
+    uvicorn.run(app, host="0.0.0.0", port=port)

{backend → matrix}/benchmark.py

@@ -17,7 +17,7 @@ from sklearn.neighbors import KNeighborsClassifier, KNeighborsRegressor
 warnings.filterwarnings("ignore")
 
 # Allow importing model wrappers from the code directory
-sys.path.insert(0, str(Path(__file__).parent.parent / "code"))
+sys.path.insert(0, str(Path(__file__).parent / "code"))
 
 N_FOLDS   = int(os.getenv("N_FOLDS",   "5"))
 RAND      = int(os.getenv("RANDOM_STATE", "42"))

main.py → matrix/main.py

@@ -7,7 +7,9 @@ from pathlib import Path
 from dotenv import load_dotenv
 
 # Load .env before anything else so HF_TOKEN is available to benchmark.py
+# Load .env from current or parent directory
 load_dotenv(Path(__file__).parent / ".env")
+load_dotenv(Path(__file__).parent.parent / ".env")
 
 import pandas as pd
 from fastapi import FastAPI, File, UploadFile, Form, HTTPException