Update app.py

app.py

@@ -8,13 +8,13 @@ os.environ['OPENAI_API_KEY'] = os.getenv("OPENAI_API_KEY")
 loaders = [UnstructuredPDFLoader(glob.glob("*.pdf"))]
 
 # Create the index, if it does not exist, and save it
-if not os.path.isfile('VectorStoreIndex/chroma-embeddings.parquet'):
+if not os.path.isfile('chroma-embeddings.parquet'):
   from langchain.vectorstores import Chroma
   index = VectorstoreIndexCreator(vectorstore_cls=Chroma, vectorstore_kwargs={ "persist_directory": "VectorStoreIndex/"}).from_loaders(loaders)
   index.vectorstore.persist()
 
 # Load the saved index
-index_saved = VectorstoreIndexCreator().from_persistent_index("VectorStoreIndex/")
+index_saved = VectorstoreIndexCreator().from_persistent_index(".")
 
 description = '''This is an AI conversational agent that has studied the Asom Barta newspapers over the last 1 year, from June 2022 to May 2023. You can ask it any question pertaining to this period, and it will answer it.
 \n\nThe AI can only frame its answers based on its worldview attained from the Asom Barta newspapers. If you ask it about anything not pertaining to the content of the