Update app.py

app.py

@@ -43,20 +43,6 @@ 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="---------",
-    repo_type="dataset",
-    folder_path=log_folder,
-    path_in_repo="data",
-    every=2
-)
-
 # Define the Q&A system message
 
 qna_system_message = """
@@ -135,17 +121,6 @@ def predict(user_input,company):
     # 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
 
 # Set-up the Gradio UI