adding methodology

app.py

@@ -46,7 +46,7 @@ demo = gr.Blocks()
 
 with demo:
     gr.Markdown(
-        """# Energy Star Leaderboard - v.1 (2024) 🌎 💻 🌟
+        """# Energy Star Leaderboard - v.0 (2024) 🌎 💻 🌟
     ### Welcome to the leaderboard for the [AI Energy Star Project!](https://huggingface.co/EnergyStarAI)
     Click through the tasks below to see how different models measure up in terms of energy efficiency"""
     )
@@ -122,5 +122,11 @@ with demo:
                     plot = gr.Plot(get_plots('question_answering.csv'))
                 with gr.Column():
                     table = gr.Dataframe(get_model_names('question_answering.csv'), datatype="markdown")
-
+    with gr.Accordion("Methodology"):
+        gr.Markdown(
+        """For each of the ten tasks above, we created a custom dataset with 1,000 entries (see all of the datasets on our [org Hub page](https://huggingface.co/EnergyStarAI)).
+        We then tested each of the models from the leaderboard on the appropriate task, measuring the energy consumed using [Code Carbon](https://mlco2.github.io/codecarbon/), an open-source Python package for tracking the environmental impacts of code.
+        We developed and used a [Docker container](https://github.com/huggingface/EnergyStarAI/) to maximize the reproducibility of results, and to enable members of the community to benchmark internal models.
+        Reach out to us if you want to collaborate!
+        """)
 demo.launch()