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app.py

@@ -12,6 +12,7 @@ import urllib.request
 
 import gradio as gr
 import pandas as pd
+from huggingface_hub import hf_hub_download
 
 import alpaca_client as ac
 import rebalance_engine as eng
@@ -107,6 +108,26 @@ def refresh():
             f"_Last updated {now} · auto-refreshes every 30 min_")
 
 
+def load_rebalance():
+    tok = os.environ.get("HF_TOKEN")
+    if not tok:
+        return ""
+    try:
+        log = json.load(open(hf_hub_download("s-ttp/marketfm-panel", "deepquant_log.json", repo_type="dataset", token=tok)))
+        if not log:
+            return ""
+        e = log[-1]
+        mode = "🟢 OFFENSE" if e.get("mode") == "OFFENSE" else "🛡️ DEFENSE"
+        head = (f"### 🗓️ Latest rebalance — {e.get('date','')} · {mode}\n"
+                f"{e.get('buys',0)} buys · {e.get('sells',0)} sells · {e.get('turnover_pct',0)}% turnover · "
+                f"{e.get('n_positions','—')} holdings\n\n")
+        if e.get("narration"):
+            return head + f"> 💬 *{e['narration']}*\n\n<sub>— {e.get('narrated_by','MarketGuruLLM')}</sub>"
+        return head + f"<sub>{e.get('summary','')}</sub>"
+    except Exception:
+        return ""
+
+
 def rebalance_preview():
     tok = os.environ.get("HF_TOKEN")
     if not tok:
@@ -161,6 +182,7 @@ with gr.Blocks(title="DeepQuant — live paper monitor", theme=gr.themes.Soft())
     with gr.Tabs():
         with gr.Tab("📊 Live account"):
             stats = gr.Markdown()
+            rebal = gr.Markdown()
             gr.Markdown("### Holdings")
             tbl = gr.Dataframe(wrap=True, interactive=False)
             gr.Markdown("### Equity vs S&P 500")
@@ -188,6 +210,9 @@ with gr.Blocks(title="DeepQuant — live paper monitor", theme=gr.themes.Soft())
     demo.load(refresh, None, acct_outs)
     btn.click(refresh, None, acct_outs)
     timer.tick(refresh, None, acct_outs)
+    demo.load(load_rebalance, None, rebal)
+    btn.click(load_rebalance, None, rebal)
+    timer.tick(load_rebalance, None, rebal)
 
     pv_outs = [pv_banner, tgt_tbl, ord_tbl]
     demo.load(rebalance_preview, None, pv_outs)