add log

app.py

@@ -34,16 +34,16 @@ notice_markdown = ("""
 
 ## Resources
 
-- [[Github]](https://github.com/thu-coai/DA-Transformer)
+- Codes: [[Github]](https://github.com/thu-coai/DA-Transformer)
 - Papers: [[Machine Translation]](https://proceedings.mlr.press/v162/huang22m/huang22m.pdf) [[Pre-training]](https://arxiv.org/pdf/2304.11791.pdf)
 
 ## Terms of use
 By using this service, users are required to agree to the following terms: The service is a research preview intended for non-commercial use only. It does not gaurantee the correctness of the output text. The service may collect user data for future research.
 
 ## This demo contains models
-- [En-De Translation]()
-- [Zh-En Translation]()
-- [Question Generation]()
+- [Zh-En Translation](https://huggingface.co/thu-coai/dat_base_translation_zhen)
+- [En-De Translation](https://huggingface.co/thu-coai/dat_base_translation_ende)
+- [Question Generation](https://huggingface.co/thu-coai/dat_uncased_squad)
 """)
 
 learn_more_markdown = ("""
@@ -512,16 +512,18 @@ def build_tab_detail():
     return load
 
 def build_demo():
+    logger.info(f"build enter")
     with gr.Blocks(title="DA-Transformer Demo", theme=gr.themes.Base(), css=css) as demo:
         gr.Markdown(notice_markdown)
 
-        with gr.Tab("Speed Comparison") as compare_tab:
-            compare_load = build_tab_compare()
-        compare_load(compare_tab.select)
         with gr.Tab("DA-Transformer Inspection") as detail_tab:
             detail_load = build_tab_detail()
         detail_load(detail_tab.select)
 
+        with gr.Tab("Speed Comparison") as compare_tab:
+            compare_load = build_tab_compare()
+        compare_load(compare_tab.select)
+
         gr.Markdown(learn_more_markdown)
 
         compare_load(demo.load)
@@ -540,6 +542,8 @@ if __name__ == "__main__":
 
     workers = concurrent.futures.ThreadPoolExecutor(max_workers=1)
     demo = build_demo()
+    logger.info(f"build over")
+
     demo.queue(concurrency_count=args.concurrency_count, status_update_rate=10,
                api_open=False).launch(server_name=args.host, server_port=args.port,
                                       share=args.share, max_threads=5)