Update app.py

app.py

@@ -136,11 +136,11 @@ def get_leaderboard_models():
 
 
 with gr.Blocks() as demo:
-    gr.Markdown("# Energy Score Submission Portal - v.0 (Fall 2024) 🌎 💻 🌟")
+    gr.Markdown("# AI Energy Score | Submission Portal")
     gr.Markdown("### The goal of the AI Energy Score project is to develop an energy-based rating system for AI model deployment that will guide members of the community in choosing models for different tasks based on energy efficiency.", elem_classes="markdown-text")   
     gr.Markdown("### If you want us to evaluate a model hosted on the 🤗 Hub, enter the model ID and choose the corresponding task from the dropdown list below, then click **Run Analysis** to launch the benchmarking process.")
-    gr.Markdown("### If you've used the [Docker file](https://github.com/huggingface/EnergyStarAI/) that we created to run your own evaluation, please submit the resulting log files at the bottom of the page.")
-    gr.Markdown("### The [Project Leaderboard](https://huggingface.co/spaces/EnergyStarAI/2024_Leaderboard) will be updated quarterly, as new models get submitted.")
+    gr.Markdown("### If you've used the [Docker file](https://github.com/huggingface/AIEnergyScore/) to run your own evaluation, please submit the resulting log files at the bottom of the page.")
+    gr.Markdown("### The [Project Leaderboard](https://huggingface.co/spaces/AIEnergyScore/Leaderboard) will be updated twice a year.")
     with gr.Row():
         with gr.Column():
             task = gr.Dropdown(
@@ -155,7 +155,7 @@ with gr.Blocks() as demo:
 
     with gr.Row():
         with gr.Column():
-            submit_button = gr.Button("Run Analysis")
+            submit_button = gr.Button("Submit for Analysis")
             submission_result = gr.Markdown()
             submit_button.click(
                 fn=add_new_eval,
@@ -165,17 +165,17 @@ with gr.Blocks() as demo:
                 ],
                 outputs=submission_result,
             )
-    with gr.Row():
-        with gr.Column():
-            with gr.Accordion("Submit log files from a Docker run:", open=False):
-                gr.Markdown("If you've already benchmarked your model using the [Docker file](https://github.com/huggingface/EnergyStarAI/) provided, please upload the **entire run log directory** (in .zip format) below:")
-                file_output = gr.File(visible=False)
-                u = gr.UploadButton("Upload a zip file with logs", file_count="single")
-                u.upload(add_docker_eval, u, file_output)
-    with gr.Row():
-        with gr.Column():
-                with gr.Accordion("Models that are in the latest leaderboard version:", open=False):
-                    gr.Dataframe(get_leaderboard_models())
-                with gr.Accordion("Models that have been benchmarked recently:", open=False):
-                    gr.Dataframe(formatted_df)
+#   with gr.Row():
+#        with gr.Column():
+#            with gr.Accordion("Submit log files from a Docker run:", open=False):
+#                gr.Markdown("If you've already benchmarked your model using the [Docker file](https://github.com/huggingface/EnergyStarAI/) provided, please upload the **entire run log directory** (in .zip format) below:")
+#                file_output = gr.File(visible=False)
+#                u = gr.UploadButton("Upload a zip file with logs", file_count="single")
+#                u.upload(add_docker_eval, u, file_output)
+#    with gr.Row():
+#        with gr.Column():
+#                with gr.Accordion("Models that are in the latest leaderboard version:", open=False):
+#                    gr.Dataframe(get_leaderboard_models())
+#                with gr.Accordion("Models that have been benchmarked recently:", open=False):
+#                    gr.Dataframe(formatted_df)
 demo.launch()