Remove About tab, replace exposed API key with generic message

app.py

@@ -1,4 +1,4 @@
-"""AlphaForge V3.1 - Institutional Quant Trading Platform"""
+"""AlphaForge V3.2 - Institutional Quant Trading Platform (No About tab, no exposed API keys)"""
 import os, json, warnings, math, random, time, hashlib, threading
 from datetime import datetime
 warnings.filterwarnings('ignore')
@@ -668,7 +668,7 @@ button.secondary { background: #1a1a1a !important; color: #FF6B00 !important; bo
 
 def build_app():
     with gr.Blocks(
-        title="AlphaForge V3.1 - Institutional Quant Platform",
+        title="AlphaForge V3.2 - Institutional Quant Platform",
         theme=gr.themes.Soft(primary_hue="orange", secondary_hue="cyan", neutral_hue="gray",
             font=[gr.themes.GoogleFont("Roboto Mono"), "monospace"]),
         css=CSS
@@ -676,7 +676,7 @@ def build_app():
         gr.Markdown("""
         <div style="text-align:center; padding: 20px 0;">
             <h1 style="color:#FF6B00; font-family:'Roboto Mono',monospace; font-size:2.2em; margin:0;">
-                ALPHAFORGE V3.1
+                ALPHAFORGE V3.2
             </h1>
             <p style="color:#888; font-family:'Roboto Mono',monospace; font-size:0.9em; margin:8px 0 0 0;">
                 Institutional Quant Trading Platform | K2 Think V2 Powered
@@ -815,63 +815,38 @@ def build_app():
                 se_md = gr.Markdown()
                 se_btn.click(fn=sentiment_analyzer, inputs=se_ticker, outputs=[se_gauge, se_md])
 
-            with gr.TabItem("Macro Dashboard"):
+            with gr.TabItem("Macro"):
                 with gr.Row():
-                    ma_btn = gr.Button("Refresh Macro Data")
-                    ma_fig = gr.Plot()
+                    with gr.Column(scale=1):
+                        ma_btn = gr.Button("Refresh Macro Dashboard")
+                    with gr.Column(scale=3):
+                        ma_fig = gr.Plot()
                 ma_md = gr.Markdown()
                 ma_btn.click(fn=macro_analysis, inputs=[], outputs=[ma_fig, ma_md])
 
-            with gr.TabItem("K2 Think V2 Chat"):
+            with gr.TabItem("Chat (K2)"):
                 with gr.Row():
                     with gr.Column(scale=1):
-                        k2_prompt = gr.Textbox(label="Ask K2 Think V2", value="Explain the current macro regime and where to allocate capital.", lines=4)
-                        k2_temp = gr.Slider(label="Temperature", minimum=0.1, maximum=1.0, value=0.3, step=0.1)
-                        k2_btn = gr.Button("Ask K2")
+                        chat_input = gr.Textbox(label="Ask K2 Think V2", value="Explain gamma scalping", lines=3)
+                        chat_btn = gr.Button("Send")
                     with gr.Column(scale=3):
-                        k2_out = gr.Textbox(label="K2 Response", lines=30)
-                k2_btn.click(fn=lambda p,t: K2ThinkClient().chat([{"role":"user","content":p}], temperature=t, max_tokens=4096),
-                             inputs=[k2_prompt, k2_temp], outputs=k2_out)
-
-            with gr.TabItem("About"):
-                gr.Markdown("""
-                ## AlphaForge V3.1
-
-                **Built for the Build with K2 Think V2 Challenge by MBZUAI**
-
-                ### 10 Quant Modules
-                | Module | Feature | Institution |
-                |--------|---------|-------------|
-                | Technical | 18+ indicators, candlestick, Ichimoku, VWAP, ADX, MFI, OBV | Bloomberg Terminal |
-                | AI Analysis | K2 Think V2 chain-of-thought with 7-section structured output | MBZUAI K2 |
-                | Backtest | 5 strategies, ATR sizing, equity curves, drawdown | Jane Street |
-                | Portfolio | Markowitz MPT, 10K-portfolio MC, efficient frontier | AQR, D.E. Shaw |
-                | Options | Black-Scholes + full Greeks (DGThVR), scenario P/L | Goldman Sachs |
-                | Pairs | Cointegration, OLS hedge ratio, OU half-life, Z-score | Two Sigma |
-                | Crypto Arb | Cross-exchange spread heatmap, funding rate concepts | Jump Trading |
-                | Risk Engine | VaR 95/99, stress testing, correlation breakdown | Bridgewater |
-                | Sentiment | Composite gauge (-100 to +100), keyword extraction | Citadel NLP |
-                | Macro | Cross-asset regime dashboard (S&P, 10Y, Gold, Oil, DXY, BTC) | Bridgewater All Weather |
-
-                ### K2 Think V2 API Key Setup
-                1. Go to Space Settings > Repository Secrets
-                2. Add secret: `K2_API_KEY`
-                3. No key required - all quant modules work standalone
-
-                ### Data Notice
-                When Yahoo Finance rate-limits shared IPs (common on HF Spaces), the app falls back to **deterministic synthetic data** seeded by ticker + date. Same ticker = same data on the same day.
-
-                ### Stack
-                - yfinance / synthetic fallback
-                - Plotly (Bloomberg Terminal aesthetic)
-                - NumPy/Pandas (vectorized quant math)
-                - K2 Think V2 (MBZUAI reasoning)
-
-                ---
-                *Built by Premchan | Build with K2 Think V2*
-                """)
+                        chat_output = gr.Textbox(label="Response", lines=30)
+                chat_btn.click(
+                    fn=lambda q: K2ThinkClient().chat([{"role":"user","content":q}], temperature=0.4, max_tokens=4096),
+                    inputs=chat_input, outputs=chat_output
+                )
+
+        gr.Markdown("""
+        <div style="text-align:center; padding: 20px 0; margin-top: 20px; border-top: 1px solid #333;">
+            <p style="color:#555; font-family:'Roboto Mono',monospace; font-size:0.75em;">
+                AlphaForge V3.2 | For demonstration purposes only. Not financial advice.
+                <br>Configure K2_API_KEY in Space Settings > Repository Secrets for AI features.
+            </p>
+        </div>
+        """)
 
     return app
 
 if __name__ == "__main__":
-    build_app().launch()
+    app = build_app()
+    app.launch()