Fully rm results page

src/app.py

@@ -8,10 +8,10 @@ from model_utils import calculate_memory, get_model
 
 def get_results(model_name: str, library: str, options: list, access_token: str):
     model = get_model(model_name, library, access_token)
-    try:
-        has_discussion = check_for_discussion(model_name)
-    except HfHubHTTPError:
-        has_discussion = True
+    # try:
+    #     has_discussion = check_for_discussion(model_name)
+    # except HfHubHTTPError:
+    #     has_discussion = True
     title = f"## Memory usage for '{model_name}'"
     data = calculate_memory(model, options)
     stages = {"model": [], "gradients": [], "optimizer": [], "step": []}
@@ -45,7 +45,6 @@ def get_results(model_name: str, library: str, options: list, access_token: str)
             gr.update(visible=True, value=pd.DataFrame(data)),
             gr.update(visible=True, value=out_explain),
             gr.update(visible=True, value=memory_values),
-            gr.update(visible=not has_discussion),
         ]
     else:
         return [
@@ -53,7 +52,6 @@ def get_results(model_name: str, library: str, options: list, access_token: str)
             gr.update(visible=True, value=pd.DataFrame(data)),
             gr.update(visible=False, value=""),
             gr.update(visible=False, value=pd.DataFrame()),
-            gr.update(visible=not has_discussion),
         ]
 
 
@@ -96,20 +94,13 @@ with gr.Blocks() as demo:
             access_token = gr.Textbox(label="API Token", placeholder="Optional (for gated models)")
         with gr.Row():
             btn = gr.Button("Calculate Memory Usage")
-            post_to_hub = gr.Button(
-                value="Report results in this model repo's discussions!\n(Will open in a new tab)", visible=False
-            )
 
     btn.click(
         get_results,
         inputs=[inp, library, options, access_token],
-        outputs=[out_text, out, out_explain, memory_values, post_to_hub],
+        outputs=[out_text, out, out_explain, memory_values],
         api_name=False,
     )
 
-    post_to_hub.click(lambda: gr.Button(visible=False), outputs=post_to_hub, api_name=False).then(
-        report_results, inputs=[inp, library, access_token]
-    )
-
 
 demo.launch()