Update app.py

app.py

@@ -5,8 +5,9 @@ import os
 from dotenv import load_dotenv
 from sentence_transformers import SentenceTransformer
 import requests
-#from langchain_community.vectorstores import Chroma
-#from langchain_community.embeddings import HuggingFaceEmbeddings 
+from langchain_community.vectorstores import Chroma
+from langchain_community.embeddings import HuggingFaceEmbeddings 
+
 load_dotenv()
 URL_CARTELLA = os.getenv('URL_CARTELLA')
 
@@ -156,14 +157,13 @@ def show_source(links) :
         for i, link in enumerate(links) :
             st.info(f"{link}")
 
-def init_vector_db(){
+def init_vector_db():
     persist_directory1 = './DB_Decreti'
     embedding = HuggingFaceEmbeddings(model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
     db = Chroma(persist_directory=persist_directory1, embedding_function=embedding)
     #NumeroDocumenti = 10  
     #query = 'Come funziona la generazione delle PDA'      
     #result = db.similarity_search(query, k=NumeroDocumenti)
-}
 
 init_state()
 sidebar()