Update app.py

app.py

@@ -210,7 +210,7 @@ def load_kpis() -> Dict[str, Any]:
 # AI DASHBOARD -- LLM picks what to display
 # =========================================================
 
-DASHBOARD_SYSTEM = """You are an AI dashboard assistant for a book-sales analytics app.
+DASHBOARD_SYSTEM = """You are an AI dashboard assistant for a wine-sales analytics app.
 The user asks questions or requests about their data. You have access to pre-computed
 artifacts from a Python analysis pipeline.
 
@@ -381,7 +381,7 @@ def _keyword_fallback(msg: str, idx: Dict, kpis: Dict) -> Tuple[str, Dict]:
     if kpis:
         total = kpis.get("total_units_sold", 0)
         kpi_text = (
-            f"Quick summary: **{kpis.get('n_titles', '?')}** book titles across "
+            f"Quick summary: **{kpis.get('n_titles', '?')}** wine titles across "
             f"**{kpis.get('n_months', '?')}** months, with **{total:,.0f}** total units sold."
         )
 
@@ -393,7 +393,7 @@ def _keyword_fallback(msg: str, idx: Dict, kpis: Dict) -> Tuple[str, Dict]:
 
     if any(w in msg_lower for w in ["sentiment", "review", "positive", "negative"]):
         return (
-            f"Here is the sentiment distribution across sampled book titles. {kpi_text}",
+            f"Here is the sentiment distribution across sampled wine titles. {kpi_text}",
             {"show": "figure", "chart": "sentiment"},
         )
 
@@ -465,7 +465,7 @@ def render_kpi_cards() -> str:
         </div>"""
 
     kpi_config = [
-        ("n_titles",         "📚", "Book Titles",  "#a48de8"),
+        ("n_titles",         "📚", "wine Titles",  "#a48de8"),
         ("n_months",         "📅", "Time Periods", "#7aa6f8"),
         ("total_units_sold", "📦", "Units Sold",   "#6ee7c7"),
         ("total_revenue",    "💰", "Revenue",      "#3dcba8"),
@@ -575,7 +575,7 @@ def build_sentiment_chart() -> go.Figure:
         ))
     fig.update_layout(**_styled_layout(
         height=max(400, len(df) * 28), barmode="stack",
-        title=dict(text="Sentiment Distribution by Book"),
+        title=dict(text="Sentiment Distribution by wine"),
     ))
     fig.update_xaxes(title="Number of Reviews")
     fig.update_yaxes(autorange="reversed")
@@ -621,11 +621,11 @@ def load_css() -> str:
 with gr.Blocks(title="AIBDM 2026 Workshop App") as demo:
 
     gr.Markdown(
-        "# SE21 App Template\n"
-        "*This is an app template for SE21 students*",
+        "# Wine Pricing Analytics\n"
+        "*AI-enhanced wine pricing optimization dashboard*",
         elem_id="escp_title",
     )
-
+,
     # ===========================================================
     # TAB 1 -- Pipeline Runner
     # ===========================================================