Update app.py

app.py

@@ -8,8 +8,7 @@ from agents.crew import run_crew
 from utils.utils import (
     QUESTION_TYPE_GAIA,
     QUESTION_TYPE_HLE,
-    #get_questions_from_dataset,
-    get_questions_from_file
+    get_questions_from_dataset
 )
 
 # MCP server functions
@@ -185,7 +184,7 @@ with gr.Blocks(elem_classes=["full-width-app"]) as gaia:
         with gr.Tabs():
             with gr.TabItem("GAIA Benchmark Level 1"):
                 gr.Examples(
-                    examples=get_questions_from_file(QUESTION_TYPE_GAIA, 1),
+                    examples=get_questions_from_dataset(QUESTION_TYPE_GAIA, 1),
                     inputs=[question, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
                     examples_per_page=3,
                     cache_examples=False
@@ -193,7 +192,7 @@ with gr.Blocks(elem_classes=["full-width-app"]) as gaia:
 
             with gr.TabItem("GAIA Benchmark Level 2"):
                 gr.Examples(
-                    examples=get_questions_from_file(QUESTION_TYPE_GAIA, 2),
+                    examples=get_questions_from_dataset(QUESTION_TYPE_GAIA, 2),
                     inputs=[question, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
                     examples_per_page=3,
                     cache_examples=False
@@ -201,7 +200,7 @@ with gr.Blocks(elem_classes=["full-width-app"]) as gaia:
 
             with gr.TabItem("GAIA Benchmark Level 3"):
                 gr.Examples(
-                    examples=get_questions_from_file(QUESTION_TYPE_GAIA, 3),
+                    examples=get_questions_from_dataset(QUESTION_TYPE_GAIA, 3),
                     inputs=[question, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
                     examples_per_page=3,
                     cache_examples=False
@@ -209,7 +208,7 @@ with gr.Blocks(elem_classes=["full-width-app"]) as gaia:
 
             with gr.TabItem("Humanity's Last Exam"):
                 gr.Examples(
-                    examples=get_questions_from_file(QUESTION_TYPE_HLE, 0),
+                    examples=get_questions_from_dataset(QUESTION_TYPE_HLE, 0),
                     inputs=[question, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
                     examples_per_page=3,
                     cache_examples=False