initial commit

app.py

@@ -23,7 +23,7 @@ def index_document(uploaded_file):
         file_name = os.path.join(assets_folder, uploaded_file.name)
         st.success(f"File '{file_name}' uploaded !")
 
-        with st.spinner("Indexing document... This is a free CPU version and may take a while⏳"):
+        with st.spinner("Indexing document... This is a free CPU version and may take a while ⏳"):
             llm_model.create_vector_db(file_name, instructor_embeddings)
 
         return file_name