Update app.py

app.py

@@ -164,12 +164,6 @@ with gr.Blocks() as demo:
             'style="margin: 0 10px; text-decoration: none; font-weight: bold; font-size: 1.1em; '
             'color: black; font-family: \'Inter\', sans-serif;">Documentation</a>'
         )
-        download_link = gr.HTML(get_zip_data_link())
-        community_link = gr.HTML(
-            '<a href="https://huggingface.co/spaces/AIEnergyScore/README/discussions" '
-            'style="margin: 0 10px; text-decoration: none; font-weight: bold; font-size: 1.1em; '
-            'color: black; font-family: \'Inter\', sans-serif;">Community</a>'
-        )
     
     # --- Logo (centered) ---
     gr.HTML('''
@@ -212,23 +206,25 @@ with gr.Blocks() as demo:
     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:")
+                gr.Markdown("If you've already benchmarked your model using the [Docker file](https://github.com/huggingface/AIEnergyScore/) provided, please upload the **entire run log directory** (in .zip format) below:")
                 agreement_checkbox = gr.Checkbox(label="""By checking the box below and submitting your energy score data, you confirm and agree to the following:
-1. Public Data Sharing: You consent to the public sharing of the energy performance data derived from your submission. No additional information related to this model including proprietary configurations will be disclosed.
-2. Data Integrity: You validate that the log files submitted are accurate, unaltered, and generated directly from testing your model as per the specified benchmarking procedures.
-3. Model Representation: You verify that the model tested and submitted is representative of the production-level version of the model, including its level of quantization and any other relevant characteristics impacting energy efficiency and performance.""")
+            - 1. Public Data Sharing: You consent to the public sharing of the energy performance data derived from your submission. No additional information related to this model including proprietary configurations will be disclosed.
+            - 2. Data Integrity: You validate that the log files submitted are accurate, unaltered, and generated directly from testing your model as per the specified benchmarking procedures.
+            - 3. Model Representation: You verify that the model tested and submitted is representative of the production-level version of the model, including its level of quantization and any other relevant characteristics impacting energy efficiency and performance.""")
                 file_output = gr.File(visible=False)
                 u = gr.UploadButton("Upload a zip file with logs", file_count="single", interactive=False)
                 u.upload(add_docker_eval, u, file_output)
-    
+
                 def update_upload_button_interactive(checkbox_value):
-                    return gr.UploadButton.update(interactive=checkbox_value)
-    
+                    # When checkbox_value is True, disable should be False (i.e. the button becomes active)
+                    return gr.UploadButton.update(disabled=not checkbox_value)
+            
                 agreement_checkbox.change(
                     fn=update_upload_button_interactive,
                     inputs=[agreement_checkbox],
                     outputs=[u]
                 )
+
     
     with gr.Row():
         with gr.Column():