Upload app.py

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 import os
-from gradio_interfaces.conversation_labeling.interface_utils import *
+from interface_utils import *
 
 maxim = 'quantity'
 submaxims = ["The response provides a sufficient amount of information.",
@@ -10,7 +10,7 @@ checkbox_choices = [
     ["Yes", "No", "NA"]
 ]
 
-conversation_data_sliced = load_from_jsonl('../../../data/unlabeled/conversations_unlabeled_sliced.jsonl')
+conversation_data_sliced = load_from_jsonl('./data/conversations_unlabeled_sliced.jsonl')
 max_conversation_length = max([len(conversation['transcript']) for conversation in conversation_data_sliced])
 
 conversation = get_conversation(conversation_data_sliced)