try this

app.py

@@ -17,7 +17,7 @@ tdp_fig = px.scatter(
     log_y=True,
 )
 
-tdp_fig = px.scatter(
+tdp_fig_gpu = px.scatter(
     merged_df,
     x="Total TDP (W)",
     y="$/Hour",
@@ -27,6 +27,18 @@ tdp_fig = px.scatter(
 )
 
 cost_fig = px.scatter(
+    merged_df,
+    x="GPU Total Cost",
+    y="$/Hour",
+    color="provider",
+    log_y=True,
+    log_x=True,
+    trendline="ols",
+    trendline_options=dict(log_x=True, log_y=True),
+    trendline_scope="overall",
+)
+
+cost_fig_gpu = px.scatter(
     merged_df,
     x="GPU Total Cost",
     y="$/Hour",
@@ -69,7 +81,6 @@ with gr.Blocks() as demo:
         gr.Markdown("TODO")
     with gr.Row():
         gr.Markdown("### Energy Data")
-    with gr.Row():
         with gr.Column():
             gr.Markdown(
                 "Double click the names of cloud providers to see the trend per company"
@@ -79,21 +90,27 @@ with gr.Blocks() as demo:
             gr.Markdown(
                 "Double click the names of GPU models to see the trends per GPU"
             )
-            plt1 = gr.Plot(tdp_fig)
+            plt1 = gr.Plot(tdp_fig_gpu)
     with gr.Row():
-        with gr.Column(scale=1):
-            org_choice = gr.Dropdown(
-                options,
-                value="",
-                label="Organizations",
-                info="Pick a characteristic to regenerate plot",
-                interactive=True,
+        gr.Markdown("### Cost Data")
+        with gr.Column():
+            gr.Markdown(
+                "Double click the names of cloud providers to see the trend per company"
             )
-
-        with gr.Column(scale=4):
-            gr.Markdown("### Cost Data")
-            plt = gr.Plot(cost_fig)
-
-    # org_choice.select(generate_figure, inputs=[org_choice], outputs=[plt])
-
+            plt1 = gr.Plot(cost_fig)
+        with gr.Column():
+            gr.Markdown(
+                "Double click the names of GPU models to see the trends per GPU"
+            )
+            plt1 = gr.Plot(cost_fig_gpu)
 demo.launch()
+
+# with gr.Row():
+#     with gr.Column(scale=1):
+#         org_choice = gr.Dropdown(
+#             options,
+#             value="",
+#             label="Organizations",
+#             info="Pick a characteristic to regenerate plot",
+#             interactive=True,
+#         )