fix

app.py

@@ -84,11 +84,11 @@ print(f'Term length dataframe is {term_length_df}')
 variate_type_df = pivot_df('results/grouped_results_by_univariate.csv', tab_name='univariate')
 print(f'Variate type dataframe is {variate_type_df}')
 
-(
-    finished_eval_queue_df,
-    running_eval_queue_df,
-    pending_eval_queue_df,
-) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
+# (
+#     finished_eval_queue_df,
+#     running_eval_queue_df,
+#     pending_eval_queue_df,
+# ) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
 
 
 def init_leaderboard(dataframe):
@@ -150,51 +150,51 @@ with demo:
         with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=4):
             gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
 
-        with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=5):
-            with gr.Column():
-                with gr.Row():
-                    gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
-
-                with gr.Column():
-                    with gr.Accordion(
-                            f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
-                            open=False,
-                    ):
-                        with gr.Row():
-                            finished_eval_table = gr.components.Dataframe(
-                                value=finished_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-                    with gr.Accordion(
-                            f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
-                            open=False,
-                    ):
-                        with gr.Row():
-                            running_eval_table = gr.components.Dataframe(
-                                value=running_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-
-                    with gr.Accordion(
-                            f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
-                            open=False,
-                    ):
-                        with gr.Row():
-                            pending_eval_table = gr.components.Dataframe(
-                                value=pending_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-            with gr.Row():
-                gr.Markdown("# ✉️✨ Submit your model outputs !", elem_classes="markdown-text")
-                gr.Markdown(
-                    "Send your model outputs for all the models using the ContextualBench code and email them to us at xnguyen@salesforce.com ",
-                    elem_classes="markdown-text")
+        # with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=5):
+        #     with gr.Column():
+        #         with gr.Row():
+        #             gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
+        #
+        #         with gr.Column():
+        #             with gr.Accordion(
+        #                     f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
+        #                     open=False,
+        #             ):
+        #                 with gr.Row():
+        #                     finished_eval_table = gr.components.Dataframe(
+        #                         value=finished_eval_queue_df,
+        #                         headers=EVAL_COLS,
+        #                         datatype=EVAL_TYPES,
+        #                         row_count=5,
+        #                     )
+        #             with gr.Accordion(
+        #                     f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
+        #                     open=False,
+        #             ):
+        #                 with gr.Row():
+        #                     running_eval_table = gr.components.Dataframe(
+        #                         value=running_eval_queue_df,
+        #                         headers=EVAL_COLS,
+        #                         datatype=EVAL_TYPES,
+        #                         row_count=5,
+        #                     )
+        #
+        #             with gr.Accordion(
+        #                     f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
+        #                     open=False,
+        #             ):
+        #                 with gr.Row():
+        #                     pending_eval_table = gr.components.Dataframe(
+        #                         value=pending_eval_queue_df,
+        #                         headers=EVAL_COLS,
+        #                         datatype=EVAL_TYPES,
+        #                         row_count=5,
+        #                     )
+        #     with gr.Row():
+        #         gr.Markdown("# ✉️✨ Submit your model outputs !", elem_classes="markdown-text")
+        #         gr.Markdown(
+        #             "Send your model outputs for all the models using the ContextualBench code and email them to us at xnguyen@salesforce.com ",
+        #             elem_classes="markdown-text")
 
             # with gr.Row():
             #     with gr.Column():