Update app.py

app.py

@@ -615,25 +615,28 @@ with gr.Blocks(title="Efficient Portfolio Advisor") as demo:
             run_btn = gr.Button("Compute (build dataset & suggest)")
             # -----------------------------------------------------
 
-            gr.Markdown("### Suggestions")
+            # Suggestions UI (hidden until Compute)
+            sugg_hdr = gr.Markdown("### Suggestions", visible=False)
             with gr.Row():
-                btn_low = gr.Button("Show Low")
-                btn_med = gr.Button("Show Medium")
-                btn_high = gr.Button("Show High")
-            low_txt = gr.Markdown()
-            med_txt = gr.Markdown()
-            high_txt = gr.Markdown()
+                btn_low  = gr.Button("Show Low",    visible=False)
+                btn_med  = gr.Button("Show Medium", visible=False)
+                btn_high = gr.Button("Show High",   visible=False)
+            low_txt  = gr.Markdown(visible=False)
+            med_txt  = gr.Markown(visible=False) if hasattr(gr, "Markown") else gr.Markdown(visible=False)
+            high_txt = gr.Markdown(visible=False)
 
         with gr.Column(scale=1):
-            plot = gr.Image(label="Capital Market Line (CAPM)", type="pil")
-            summary = gr.Markdown(label="Inputs & Results")
+            # Results (hidden until Compute)
+            plot = gr.Image(label="Capital Market Line (CAPM)", type="pil", visible=False)
+            summary = gr.Markdown(label="Inputs & Results", visible=False)
             positions = gr.Dataframe(
                 label="Computed positions",
                 headers=["ticker", "amount_usd", "weight_exposure", "beta"],
                 datatype=["str", "number", "number", "number"],
                 col_count=(4, "fixed"),
                 value=empty_positions_df(),
-                interactive=False
+                interactive=False,
+                visible=False
             )
             sugg_table = gr.Dataframe(
                 label="Selected suggestion holdings (% / $)",
@@ -641,20 +644,19 @@ with gr.Blocks(title="Efficient Portfolio Advisor") as demo:
                 datatype=["str", "number", "number"],
                 col_count=(3, "fixed"),
                 value=empty_suggestion_df(),
-                interactive=False
+                interactive=False,
+                visible=False
             )
-            dl = gr.File(label="Generated dataset CSV", value=None, visible=True)
+            dl = gr.File(label="Generated dataset CSV", value=None, visible=False)
 
-    # wire search / add / locking
+    # --- wiring ---
     search_btn.click(fn=search_tickers_cb, inputs=q, outputs=[search_note, matches])
     add_btn.click(fn=add_symbol, inputs=[matches, table], outputs=[table, search_note])
     table.change(fn=lock_ticker_column, inputs=table, outputs=table)
-
-    # horizon updates globals silently (no UI output)
     horizon.change(fn=set_horizon, inputs=horizon, outputs=[])
 
-    # compute + render (default to Medium band)
-    run_btn.click(
+    # Compute (default to Medium band)
+    compute_evt = run_btn.click(
         fn=compute,
         inputs=[lookback, table, gr.State("Medium")],
         outputs=[
@@ -665,7 +667,19 @@ with gr.Blocks(title="Efficient Portfolio Advisor") as demo:
         ]
     )
 
-    # band buttons recompute picks quickly
+    # After compute finishes, reveal all results + Suggestions UI
+    def _reveal():
+        up = gr.update(visible=True)
+        return (up, up, up, up, up, up, up, up, up, up, up, up)
+
+    compute_evt.then(
+        _reveal,
+        inputs=[],
+        outputs=[plot, summary, positions, sugg_table, dl,
+                 sugg_hdr, btn_low, btn_med, btn_high, low_txt, med_txt, high_txt]
+    )
+
+    # Band buttons (work once they’re revealed)
     btn_low.click(
         fn=compute,
         inputs=[lookback, table, gr.State("Low")],