Fix data creation error

app.py

@@ -236,4 +236,4 @@ with gr.Blocks(theme="earneleh/paris") as demo:
 	upstage_key_textbox.submit(on_submit_upstage_key, inputs=[upstage_key_textbox], outputs=upstage_key_status_box)
 
 
-demo.launch(share=False, debug=True, allowed_paths=[FILE_DIR, DATA_DIR])
+demo.launch(share=False, debug=False, allowed_paths=[FILE_DIR, DATA_DIR])

src/create.py

@@ -32,7 +32,7 @@ def default_create(corpus_df, llm: BaseLLM, n: int = 100, lang: str = "en",
 	progress(0.6)
 	filtered_answers = concise_answers.filter(dontknow_filter_rule_based, lang=lang)
 	progress(0.8)
-	initial_qa = filtered_answers.batch_filter(passage_dependency_filter_llama_index, lang=lang, batch_size=batch_size)
+	initial_qa = filtered_answers.batch_filter(passage_dependency_filter_llama_index, llm=llm, lang=lang, batch_size=batch_size)
 	progress(0.96)
 	return initial_qa
 
@@ -88,7 +88,7 @@ def advanced_create(corpus_df, llm: BaseLLM, n: int = 100, lang: str = "en",
 	progress(0.35)
 	filtered_answers = concise_answers.filter(dontknow_filter_rule_based, lang=lang)
 	progress(0.45)
-	initial_qa = filtered_answers.batch_filter(passage_dependency_filter_llama_index, lang=lang, batch_size=batch_size)
+	initial_qa = filtered_answers.batch_filter(passage_dependency_filter_llama_index, llm=llm, lang=lang, batch_size=batch_size)
 	progress(0.55)
 	cut_idx = n // 2
 	reasoning_qa = initial_qa.map(lambda df: df.iloc[:cut_idx]).batch_apply(