Updated app.py

app.py

@@ -3,7 +3,7 @@ import gradio as gr
 from llama_cpp import Llama
 from huggingface_hub import snapshot_download, login
 from sklearn.feature_extraction.text import TfidfVectorizer
-import fiass
+import faiss
 import numpy as np
 
 #--------------------MODEL SETUP--------------------
@@ -35,7 +35,7 @@ def update_rag_index():
     if not documents:
         return
     vectors = vectorizer.fit_transform(documents).toarray().asype('float32')
-    index = fiass.IndexFlatL2(vectors.shape[1])
+    index = faiss.IndexFlatL2(vectors.shape[1])
     index.add(vectors)
 
 def retrive_relvant_docs(query, k=2):