fix: Import module errors

app.py

@@ -7,15 +7,15 @@ from qdrant_client import QdrantClient
 from fastembed import TextEmbedding
 
 from llama_index.llms.openai import OpenAI
-from food_recommender.utils import extract_food_items, synthesize_food_item
-from food_recommender.main import RecommendationEngine
+from .utils import extract_food_items, synthesize_food_item
+from .main import RecommendationEngine
 
 ocr = PaddleOCR(use_angle_cls=True, lang="en", use_gpu=False)
 llm = OpenAI(model="gpt-3.5-turbo")
 rec_engine = RecommendationEngine("food", QdrantClient(":memory"), TextEmbedding())
 
 
-def run_ocr(img_path):
+def run_ocr(img_path) -> str:
     result = ocr.ocr(img_path, cls=True)[0]
     return "\n".join([line[1][0] for line in result])
 

main.py

@@ -4,8 +4,8 @@ from qdrant_client import QdrantClient, models as qmodels
 from llama_index.llms.openai import OpenAI
 from fastembed import TextEmbedding
 
-from food_recommender.models import FoodItem
-from food_recommender.utils import synthesize_food_item
+from .models import FoodItem
+from .utils import synthesize_food_item
 
 likes = ["dosa", "fanta", "croissant", "waffles"]
 dislikes = ["virgin mojito"]
@@ -65,7 +65,7 @@ class RecommendationEngine:
 
     def recommend_from_given(
         self, items: List[FoodItem], limit: int = 3
-    ) -> Dict[str, int]:
+    ) -> Dict[str, float]:
         liked_points, _offset = self.qdrant.scroll(
             self.collection,
             scroll_filter={"must": [{"key": "liked", "match": {"value": True}}]},

utils.py

@@ -2,7 +2,7 @@ from typing import List
 from llama_index.program.openai import OpenAIPydanticProgram
 from llama_index.core.llms.llm import LLM
 
-from food_recommender.models import FoodItem, ExtractedFoodName
+from .models import FoodItem, ExtractedFoodName
 
 
 def synthesize_food_item(food_name: str, llm: LLM) -> FoodItem: