Update app.py

app.py

@@ -19,7 +19,7 @@ from langchain.schema import AIMessage, HumanMessage, SystemMessage
 embeddings = OpenAIEmbeddings()
 
 # Loads database from persisted directory
-db_directory = "/docs/2023_12_06_chroma_db"
+db_directory = "./docs/2023_12_06_chroma_db"
 db = Chroma(persist_directory=db_directory, embedding_function=embeddings)
 
 # This is code that retrieves relevant documents based on a similarity search (in this case, it grabs the top 2 relevant documents or chunks)
@@ -53,7 +53,7 @@ def get_full_context(input):
   retrieved_documents = retriever.get_relevant_documents(input)
   context = ""  # Initialize an empty string
 
-  file_path = "/docs/Troubleshooting_Table.csv"
+  file_path = "./docs/Troubleshooting_Table.csv"
   data = pd.read_csv(file_path)
   for doc in retrieved_documents:
       index = doc.metadata['index']