Update app.py

app.py

@@ -33,19 +33,6 @@ retriever = vectorstore_persisted.as_retriever(
     search_kwargs={'k': 5}
 )
 
-# Prepare the logging functionality
-
-log_file = Path("logs/") / f"data_{uuid.uuid4()}.json"
-log_folder = log_file.parent
-
-scheduler = CommitScheduler(
-    repo_id="document-qna-chroma-anyscale-logs",
-    repo_type="dataset",
-    folder_path=log_folder,
-    path_in_repo="data",
-    every=2
-)
-
 qna_system_message = """
 You are an assistant to a financial services firm who answers user queries on annual reports.
 Users will ask questions delimited by triple backticks, that is, ```.
@@ -97,17 +84,6 @@ def predict(user_input):
     # While writing to the log file, ensure that the commit scheduler is locked to avoid parallel
     # access
     
-    with scheduler.lock:
-        with log_file.open("a") as f:
-            f.write(json.dumps(
-                {
-                    'user_input': user_input,
-                    'retrieved_context': context_for_query,
-                    'model_response': prediction
-                }
-            ))
-            f.write("\n")
-    
     return prediction