Update app.py

app.py

@@ -40,7 +40,9 @@ def preprocess_pdfs(folder_path, save_vectorstore_path):
 # Load pre-trained FAISS vector store
 @st.cache_resource
 def load_vector_store(save_vectorstore_path):
-    return FAISS.load_local(save_vectorstore_path, embedding_function=HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2"))
+    embedding_function = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
+    return FAISS.load_local(save_vectorstore_path, embedding_function)
+
 
 # Generate summary based on the retrieved text
 def generate_summary_with_huggingface(query, retrieved_text):
@@ -81,3 +83,4 @@ def main():
 if __name__ == "__main__":
     main()
 
+