Update app.py

app.py

@@ -73,11 +73,10 @@ def create_vector_store(text):
             embeddings = model(**tokens).last_hidden_state.mean(dim=1).squeeze().numpy()
         return embeddings
 
-    # Create a function that directly returns embeddings
-    embedding_function = lambda x: embed(x)
-
     # Create a FAISS vector store
-    vector_store = FAISS.from_texts(texts=sentences, embedding=embedding_function)
+    vector_store = FAISS.from_texts(
+        texts=sentences, embedding=lambda x: embed(x)
+    )
 
     return vector_store, sentences