Update app.py

app.py

@@ -312,7 +312,7 @@ def query_embeddings(query_embedding, embeddings_data=None, n_results=5):
 from sklearn.metrics.pairwise import cosine_similarity
 import numpy as np
 
-def query_recipes_embeddings(query_embedding: np.ndarray, n_results = 5):
+def query_recipes_embeddings(query_embedding, embeddings_data, n_results = 5):
     """
     Query the recipes embeddings to find the most similar recipes based on cosine similarity.
 
@@ -738,19 +738,6 @@ async def resources_endpoint(profile: MedicalProfile):
 
  
 
-from fastapi import FastAPI, HTTPException
-from pydantic import BaseModel
-import pandas as pd
-import numpy as np
-from typing import Optional, List
-
-app = FastAPI()
-
-# Define your profile model for input data
-class MedicalProfile(BaseModel):
-    conditions: str
-    daily_symptoms: str
-
 @app.post("/api/recipes")
 async def recipes_endpoint(profile: MedicalProfile):
     try: