Update app.py

app.py

@@ -213,22 +213,17 @@ def load_kpis() -> Dict[str, Any]:
 DASHBOARD_SYSTEM = """You are an AI dashboard assistant for a book-sales analytics app.
 The user asks questions or requests about their data. You have access to pre-computed
 artifacts from a Python analysis pipeline.
-
 AVAILABLE ARTIFACTS (only reference ones that exist):
 {artifacts_json}
-
 KPI SUMMARY: {kpis_json}
-
 YOUR JOB:
 1. Answer the user's question conversationally using the KPIs and your knowledge of the artifacts.
 2. At the END of your response, output a JSON block (fenced with ```json ... ```) that tells
    the dashboard which artifact to display. The JSON must have this shape:
    {{"show": "figure"|"table"|"none", "scope": "python", "filename": "..."}}
-
    - Use "show": "figure" to display a chart image.
    - Use "show": "table" to display a CSV/JSON table.
    - Use "show": "none" if no artifact is relevant.
-
 RULES:
 - If the user asks about sales trends or forecasting by title, show sales_trends or arima figures.
 - If the user asks about sentiment, show sentiment figure or sentiment_counts table.
@@ -341,13 +336,12 @@ def ai_chat(user_msg: str, history: list):
     if chart_name and chart_name in chart_builders:
         chart_out = chart_builders[chart_name]()
     elif show == "figure" and fname:
-        # Fallback: try to match filename to a chart builder
         if "sales_trend" in fname:
             chart_out = build_sales_chart()
         elif "sentiment" in fname:
             chart_out = build_sentiment_chart()
         elif "arima" in fname or "forecast" in fname:
-            chart_out = build_sales_chart()  # closest interactive equivalent
+            chart_out = build_sales_chart()
         else:
             chart_out = _empty_chart(f"No interactive chart for {fname}")
 
@@ -422,7 +416,6 @@ def _keyword_fallback(msg: str, idx: Dict, kpis: Dict) -> Tuple[str, Dict]:
             {"show": "table", "scope": "python", "filename": "df_dashboard.csv"},
         )
 
-    # Default
     return (
         f"I can show you various analyses. {kpi_text}\n\n"
         "Try asking about: **sales trends**, **sentiment**, **ARIMA forecasts**, "
@@ -432,7 +425,7 @@ def _keyword_fallback(msg: str, idx: Dict, kpis: Dict) -> Tuple[str, Dict]:
 
 
 # =========================================================
-# KPI CARDS (BubbleBusters style)
+# KPI CARDS
 # =========================================================
 
 def render_kpi_cards() -> str:
@@ -482,7 +475,6 @@ def render_kpi_cards() -> str:
         if isinstance(val, (int, float)) and val > 100:
             val = f"{val:,.0f}"
         html += card(icon, label, str(val), colour)
-    # Extra KPIs not in config
     known = {k for k, *_ in kpi_config}
     for key, val in kpis.items():
         if key not in known:
@@ -495,7 +487,7 @@ def render_kpi_cards() -> str:
 
 
 # =========================================================
-# INTERACTIVE PLOTLY CHARTS (BubbleBusters style)
+# INTERACTIVE PLOTLY CHARTS
 # =========================================================
 
 CHART_PALETTE = ["#7c5cbf", "#2ec4a0", "#e8537a", "#e8a230", "#5e8fef",
@@ -653,7 +645,7 @@ with gr.Blocks(title="AIBDM 2026 Workshop App") as demo:
         btn_all.click(run_full_pipeline, outputs=[run_log])
 
     # ===========================================================
-    # TAB 2 -- Dashboard (KPIs + Interactive Charts + Gallery)
+    # TAB 2 -- Dashboard
     # ===========================================================
     with gr.Tab("Dashboard"):
         kpi_html = gr.HTML(value=render_kpi_cards)
@@ -755,4 +747,12 @@ with gr.Blocks(title="AIBDM 2026 Workshop App") as demo:
         )
 
 
-demo.launch(css=load_css(), allowed_paths=[str(BASE_DIR)])
+# =========================================================
+# LAUNCH — server_name="0.0.0.0" is required on HF Spaces
+# =========================================================
+demo.launch(
+    css=load_css(),
+    allowed_paths=[str(BASE_DIR)],
+    server_name="0.0.0.0",
+    server_port=7860,
+)