Update app.py

maybe this will work?

app.py

@@ -42,6 +42,17 @@ def get_model_size(model_info: ModelInfo):
         return 0  # Unknown model sizes are indicated as 0, see NUMERIC_INTERVALS in app.py
     return model_size
 
+def add_docker_eval(zip_file):
+    api.upload_file(
+        path_or_fileobj= zip_file,
+        path_in_repo=args.run_dir,
+        repo_id="EnergyStarAI/tested_proprietary_models",
+        repo_type="dataset",
+        commit_message="Adding logs via submission Space.",
+        token= TOKEN
+        )
+    return 'Uploaded logs to dataset!'
+
 
 def add_new_eval(
     repo_id: str,
@@ -140,8 +151,10 @@ with gr.Blocks() as demo:
                 outputs=submission_result,
             )
     with gr.Row():
-        gr.Markdown("If you 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:")
-        u = gr.UploadButton("Upload a zip file with logs", file_count="single")
+        with gr.Column():
+            gr.Markdown("If you 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:")
+            u = gr.UploadButton("Upload a zip file with logs", file_count="single")
+            u.upload(add_docker_eval,upload_button, file_output)           )
     with gr.Row():
         with gr.Column():
                 with gr.Accordion("Models that are in the latest leaderboard version:", open = False):