feat: Use Qdrant local mode

app.py

@@ -8,11 +8,11 @@ from fastembed import TextEmbedding
 
 from llama_index.llms.openai import OpenAI
 from utils import extract_food_items, synthesize_food_item
-from main import RecommendationEngine
+from engine 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())
+rec_engine = RecommendationEngine("food", QdrantClient("qdrant-rec-sys-data"), TextEmbedding())
 
 
 def run_ocr(img_path) -> str: