Update app.py

app.py

@@ -1,10 +1,10 @@
+from langchain_huggingface import HuggingFaceEmbeddings
 import gradio as gr
 import os
 from googletrans import Translator
 import requests
 from dotenv import load_dotenv
 import numpy as np
-from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain_community.vectorstores import Chroma
 from langchain_community.document_loaders import UnstructuredPDFLoader
 from langchain.text_splitter import CharacterTextSplitter
@@ -23,6 +23,10 @@ import logging
 # Aggiornamento dell'inizializzazione di HuggingFaceEmbeddings
 embedding_function = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
+# Definizione della lista di modelli LLM
+list_llm_simple = ["Gemma 7B (Italian)", "Mistral 7B"]
+list_llm = ["google/gemma-7b-it", "mistralai/Mistral-7B-Instruct-v0.2"]
+
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)