comment sklearn import

app.py

@@ -8,11 +8,11 @@ import numpy as np
 import faiss
 import pickle
 from mistralai import Mistral
-from sklearn.manifold import TSNE
+# from sklearn.manifold import TSNE
 from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
 from dotenv import load_dotenv
  
-MISTRAL_API_KEY = os.getenv("api_mistral")
+MISTRAL_API_KEY = 'DFtRafUrJnASg1cqrEWNtSMKAjZT4Njp' #os.getenv("api_mistral")
 model = "mistral-large-latest" #"ministral-8b-latest" # ancien model : 'mistral-large-latest'
 mistral_client = Mistral(api_key=MISTRAL_API_KEY)
 MAX_TOKENS = 1500