Revert "New tabs and functions v4.5"

This reverts commit 978bdd6a

app.py

@@ -46,7 +46,7 @@ with gr.Blocks(css=base_css) as demo:
         with gr.TabItem("Comparison Table"):
             from core.comparison_table import show_comparison_table
             pid_a = gr.Textbox(label="Portfolio A", value="3852a354-e66e-4bc5-97e9-55124e31e687")
-            pid_b = gr.Textbox(label="Portfolio B", value="b1ef37aa-5b9a-41b4-9394-8823f2de36bb")
+            pid_b = gr.Textbox(label="Portfolio B", value="b1ef37aa-5b9a-41b4-8823f2de36bb")
             compare_btn = gr.Button("Load Comparison", variant="primary")
             comp_table = gr.Dataframe(label="Comparative Metrics", wrap=True)
             comp_comment = gr.Textbox(label="AI Commentary", lines=14, elem_id="llm_comment_box")
@@ -92,25 +92,16 @@ with gr.Blocks(css=base_css) as demo:
                 for a, b in available_pairs:
                     if selected_pair.lower() == f"{a} vs {b}":
                         return build_price_chart((a, b)), build_volatility_chart((a, b))
-                # fallback по умолчанию
                 return build_price_chart(("bitcoin", "ethereum")), build_volatility_chart(("bitcoin", "ethereum"))
 
-            # обновляем графики при смене пары
             pair_selector.change(fn=update_visuals, inputs=pair_selector, outputs=[price_plot, vol_plot])
-            # первичная инициализация при запуске
-            demo.load(fn=update_visuals, inputs=None, outputs=[price_plot, vol_plot], _js="() => 'Bitcoin vs Ethereum'")
 
-<<<<<<< HEAD
-=======
-
-            # первичная инициализация при запуске (Gradio 5.x compatible)
             def init_visuals():
                 return update_visuals("Bitcoin vs Ethereum")
 
             demo.load(fn=init_visuals, inputs=None, outputs=[price_plot, vol_plot])
 
->>>>>>> parent of 53d7057 (Change UI v1.0)
-        # --- Crypto Intelligence Dashboard (Plotly Edition + KPI line) ---
+        # --- Crypto Intelligence Dashboard (Plotly Edition + KPI line, auto-load) ---
         with gr.TabItem("Crypto Intelligence Dashboard"):
             gr.HTML(f"<style>{crypto_css}</style>")
 
@@ -120,23 +111,14 @@ with gr.Blocks(css=base_css) as demo:
             with gr.Row(elem_id="controls_row"):
                 top_slider = gr.Slider(
                     label="Top N coins",
-                    minimum=20,
-                    maximum=100,
-                    step=10,
-                    value=50,
-                    scale=70,
+                    minimum=20, maximum=100, step=10, value=50, scale=100,
                 )
-                load_btn = gr.Button("Generate Dashboard", variant="primary", scale=30)
 
             with gr.Row(equal_height=True, elem_id="main_charts_row"):
                 with gr.Column(scale=70):
                     treemap_plot = gr.Plot(label="Market Composition")
                 with gr.Column(scale=30):
-                    ai_box = gr.Textbox(
-                        label="AI Market Summary",
-                        lines=18,
-                        elem_id="ai_summary_sidebar",
-                    )
+                    ai_box = gr.Textbox(label="AI Market Summary", lines=18, elem_id="ai_summary_sidebar")
 
             with gr.Row(equal_height=True, elem_id="bottom_charts_row"):
                 movers_plot = gr.Plot(label="Top Movers", scale=50)
@@ -144,28 +126,29 @@ with gr.Blocks(css=base_css) as demo:
 
             def run_dash(n):
                 fig_treemap, fig_bar, fig_bubble, ai_comment, kpi_text = build_crypto_dashboard(n)
-                return (
-                    fig_treemap,
-                    fig_bar,
-                    fig_bubble,
-                    ai_comment,
-                    f"<div class='kpi-line'>{kpi_text}</div>",
-                )
+                return fig_treemap, fig_bar, fig_bubble, ai_comment, f"<div class='kpi-line'>{kpi_text}</div>"
 
-            load_btn.click(
+            top_slider.change(
                 fn=run_dash,
                 inputs=top_slider,
                 outputs=[treemap_plot, movers_plot, scatter_plot, ai_box, kpi_line],
                 show_progress="minimal",
             )
 
-    # --- Footer ---
+            def init_crypto():
+                return run_dash(50)
+
+            demo.load(
+                fn=init_crypto,
+                inputs=None,
+                outputs=[treemap_plot, movers_plot, scatter_plot, ai_box, kpi_line],
+            )
+
     gr.Markdown("---")
     gr.Markdown(
         "<center><small style='color:#6e7681;'>Developed with Featherless.ai • Powered by OpenAI-compatible API</small></center>",
         elem_classes="footer",
     )
 
-# === Launch ===
 if __name__ == "__main__":
     demo.launch()