Update app.py

app.py

@@ -46,7 +46,7 @@ def main_process(uploaded_file):
     # We use multi-qa-mpnet-base-dot-v1 model to embed the text chunks
     # We need to save the embeddings to disk so we use persist_directory to save the embeddings to disk
     embeddings = SentenceTransformerEmbeddings(model_name="multi-qa-mpnet-base-dot-v1")
-    persist_directory = "/content/chroma/"
+    persist_directory = "chroma/"
 
     # Chroma is used to store the embeddings
     # We use from_documents to store the embeddings