Update app.py

app.py

@@ -21,11 +21,12 @@ embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-
 vector_store= FAISS.load_local("vector_db/", embeddings)
 
 repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1"
-llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={"temperature": 0.01, "max_new_tokens": 4096})
+llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={"temperature": 0.01, "max_new_tokens": 2048})
 
 retriever = vector_store.as_retriever(
     search_type="similarity",
-    search_kwargs={"k":5, "include_metadata": True})
+    search_kwargs={"k":3, "include_metadata": True}
+)
 
 df=pd.read_csv('data/Gretel_Data.csv')
 averages = df.mean().to_dict()