More setup

backend/app/dtos/predictions.py

@@ -1,27 +0,0 @@
-from fastapi import APIRouter, HTTPException
-from app.models.prediction import HousePredictionInput, HousePredictionOutput
-from app.services.ml_model import HousePricePredictor
-
-router = APIRouter()
-model = HousePricePredictor()
-
-@router.get("/predictions/house-price", 
-    response_model=HousePredictionOutput,
-    summary="Get a house price prediction",
-    description="Predicts the price of a house based on its features"
-)
-async def predict_price(input_data: HousePredictionInput) -> HousePredictionOutput:
-    try:
-        predicted_price, confidence_score, similar_listings = model.predict(
-            input_data.square_feet,
-            input_data.bedrooms,
-            input_data.bathrooms
-        )
-        
-        return HousePredictionOutput(
-            predicted_price=predicted_price,
-            confidence_score=confidence_score,
-            similar_listings=similar_listings
-        )
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e))