Update app.py

app.py

@@ -1,5 +1,3 @@
-print("=== RUNNING workshop/app.py ===")
-
 import os
 import re
 import json
@@ -109,7 +107,6 @@ def run_notebook(nb_name: str) -> str:
     )
     return f"Executed {nb_name}"
 
-
 def run_datacreation() -> str:
     try:
         log = run_notebook(NB1)
@@ -118,7 +115,6 @@ def run_datacreation() -> str:
     except Exception as e:
         return f"FAILED  {e}\n\n{traceback.format_exc()[-2000:]}"
 
-
 def run_pythonanalysis() -> str:
     try:
         log = run_notebook(NB2)
@@ -133,7 +129,6 @@ def run_pythonanalysis() -> str:
     except Exception as e:
         return f"FAILED  {e}\n\n{traceback.format_exc()[-2000:]}"
 
-
 def run_r() -> str:
     try:
         log = run_notebook(NB3)
@@ -148,7 +143,6 @@ def run_r() -> str:
     except Exception as e:
         return f"FAILED  {e}\n\n{traceback.format_exc()[-2000:]}"
 
-
 def run_full_pipeline() -> str:
     logs = []
     logs.append("=" * 50)
@@ -167,7 +161,6 @@ def run_full_pipeline() -> str:
     logs.append(run_r())
     return "\n".join(logs)
 
-
 # =========================================================
 # GALLERY LOADERS
 # =========================================================
@@ -181,7 +174,6 @@ def _load_all_figures() -> List[Tuple[str, str]]:
         items.append((str(p), f"R | {p.stem.replace('_', ' ').title()}"))
     return items
 
-
 def _load_table_safe(path: Path) -> pd.DataFrame:
     try:
         if path.suffix == ".json":
@@ -193,24 +185,21 @@ def _load_table_safe(path: Path) -> pd.DataFrame:
     except Exception as e:
         return pd.DataFrame([{"error": str(e)}])
 
-
 def refresh_gallery():
     """Called when user clicks Refresh on Gallery tab."""
     figures = _load_all_figures()
     idx = artifacts_index()
 
-    # Build table choices
     table_choices = []
     for scope in ("python", "r"):
         for name in idx[scope]["tables"]:
             table_choices.append(f"{scope}/{name}")
 
-    # Default: show first table if available
     default_df = pd.DataFrame()
     if table_choices:
-        parts = table_choices[0].split("/", 1)
-        base = PY_TAB_DIR if parts[0] == "python" else R_TAB_DIR
-        default_df = _load_table_safe(base / parts[1])
+        scope, name = table_choices[0].split("/", 1)
+        base = PY_TAB_DIR if scope == "python" else R_TAB_DIR
+        default_df = _load_table_safe(base / name)
 
     return (
         figures if figures else [],
@@ -218,7 +207,6 @@ def refresh_gallery():
         default_df,
     )
 
-
 def on_table_select(choice: str):
     if not choice or "/" not in choice:
         return pd.DataFrame([{"hint": "Select a table above."}])
@@ -231,7 +219,6 @@ def on_table_select(choice: str):
         return pd.DataFrame([{"error": f"File not found: {path}"}])
     return _load_table_safe(path)
 
-
 # =========================================================
 # KPI LOADER
 # =========================================================
@@ -245,7 +232,6 @@ def load_kpis() -> Dict[str, Any]:
                 pass
     return {}
 
-
 # =========================================================
 # AI DASHBOARD (Tab 3) -- LLM picks what to display
 # =========================================================
@@ -282,7 +268,6 @@ RULES:
 JSON_BLOCK_RE = re.compile(r"```json\s*(\{.*?\})\s*```", re.DOTALL)
 FALLBACK_JSON_RE = re.compile(r"\{[^{}]*\"show\"[^{}]*\}", re.DOTALL)
 
-
 def _parse_display_directive(text: str) -> Dict[str, str]:
     m = JSON_BLOCK_RE.search(text)
     if m:
@@ -298,12 +283,10 @@ def _parse_display_directive(text: str) -> Dict[str, str]:
             pass
     return {"show": "none"}
 
-
 def _clean_response(text: str) -> str:
     """Strip the JSON directive block from the displayed response."""
     return JSON_BLOCK_RE.sub("", text).strip()
 
-
 def ai_chat(user_msg: str, history: list):
     """Chat function for the AI Dashboard tab."""
     if not user_msg or not user_msg.strip():
@@ -344,7 +327,6 @@ def ai_chat(user_msg: str, history: list):
             reply_fb, directive = _keyword_fallback(user_msg, idx, kpis)
             reply += "\n\n" + reply_fb
 
-    # Resolve artifact paths
     fig_out = None
     tab_out = None
     show = directive.get("show", "none")
@@ -372,7 +354,6 @@ def ai_chat(user_msg: str, history: list):
 
     return new_history, "", fig_out, tab_out
 
-
 def _keyword_fallback(msg: str, idx: Dict, kpis: Dict) -> Tuple[str, Dict]:
     """Simple keyword matcher when LLM is unavailable."""
     msg_lower = msg.lower()
@@ -449,7 +430,6 @@ 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**, "
@@ -457,28 +437,27 @@ def _keyword_fallback(msg: str, idx: Dict, kpis: Dict) -> Tuple[str, Dict]:
         {"show": "none"},
     )
 
-
 # =========================================================
-# UI
+# CSS LOADER (robust injection via <style> tag)
 # =========================================================
 
-ensure_dirs()
-
-
 def load_css() -> str:
     css_path = BASE_DIR / "style.css"
-    print(">>> CSS PATH:", css_path, "exists=", css_path.exists())
     if css_path.exists():
-        txt = css_path.read_text(encoding="utf-8")
-        print(">>> CSS LEN:", len(txt))
-        return txt
-    print(">>> CSS NOT FOUND")
+        return css_path.read_text(encoding="utf-8")
     return ""
 
+# =========================================================
+# UI
+# =========================================================
 
-#with gr.Blocks(title="RX12 Workshop App") as demo:
+ensure_dirs()
 
-with gr.Blocks(title="RX12 Workshop App", css=load_css()) as demo:
+with gr.Blocks(title="RX12 Workshop App") as demo:
+    # ✅ Robust CSS injection (works across gradio versions)
+    css_text = load_css()
+    if css_text.strip():
+        gr.HTML(f"<style>{css_text}</style>")
 
     gr.Markdown(
         "# RX12 - Intro to Python and R - Workshop App\n"
@@ -490,37 +469,21 @@ with gr.Blocks(title="RX12 Workshop App", css=load_css()) as demo:
     # TAB 1 -- Pipeline Runner
     # ===========================================================
     with gr.Tab("Pipeline Runner"):
-        gr.Markdown(
-        )
+        gr.Markdown("")
 
         with gr.Row():
             with gr.Column(scale=1):
-                btn_nb1 = gr.Button(
-                    "Step 1: Data Creation",
-                    variant="secondary",
-                )
-                gr.Markdown(
-                )
+                btn_nb1 = gr.Button("Step 1: Data Creation", variant="secondary")
+                gr.Markdown("")
             with gr.Column(scale=1):
-                btn_nb2 = gr.Button(
-                    "Step 2a: Python Analysis",
-                    variant="secondary",
-                )
-                gr.Markdown(
-                )
+                btn_nb2 = gr.Button("Step 2a: Python Analysis", variant="secondary")
+                gr.Markdown("")
             with gr.Column(scale=1):
-                btn_r = gr.Button(
-                    "Step 2b: R Analysis",
-                    variant="secondary",
-                )
-                gr.Markdown(
-                )
+                btn_r = gr.Button("Step 2b: R Analysis", variant="secondary")
+                gr.Markdown("")
 
         with gr.Row():
-            btn_all = gr.Button(
-                "Run All 3 Steps",
-                variant="primary",
-            )
+            btn_all = gr.Button("Run All 3 Steps", variant="primary")
 
         run_log = gr.Textbox(
             label="Execution Log",
@@ -585,17 +548,14 @@ with gr.Blocks(title="RX12 Workshop App", css=load_css()) as demo:
             + (
                 "*LLM is active.*"
                 if LLM_ENABLED
-                else "*No API key detected \u2014 using keyword matching. "
+                else "*No API key detected — using keyword matching. "
                      "Set `HF_API_KEY` in Space secrets for full LLM support.*"
             )
         )
 
         with gr.Row(equal_height=True):
             with gr.Column(scale=1):
-                chatbot = gr.Chatbot(
-                    label="Conversation",
-                    height=380,
-                )
+                chatbot = gr.Chatbot(label="Conversation", height=380)
                 user_input = gr.Textbox(
                     label="Ask about your data",
                     placeholder="e.g. Show me sales trends / What drives revenue? / Compare forecast models",
@@ -614,14 +574,8 @@ with gr.Blocks(title="RX12 Workshop App", css=load_css()) as demo:
                 )
 
             with gr.Column(scale=1):
-                ai_figure = gr.Image(
-                    label="Visualisation",
-                    height=350,
-                )
-                ai_table = gr.Dataframe(
-                    label="Data Table",
-                    interactive=False,
-                )
+                ai_figure = gr.Image(label="Visualisation", height=350)
+                ai_table = gr.Dataframe(label="Data Table", interactive=False)
 
         user_input.submit(
             ai_chat,
@@ -630,5 +584,3 @@ with gr.Blocks(title="RX12 Workshop App", css=load_css()) as demo:
         )
 
 demo.launch(allowed_paths=[str(BASE_DIR)])
-
-#demo.launch(css=load_css(), allowed_paths=[str(BASE_DIR)])