Update core_agent.py

core_agent.py

@@ -28,15 +28,15 @@ warnings.filterwarnings("ignore")
 load_dotenv()
 
 # ─── Palette ─────────────────────────────────────────────────────────────────
-PALETTE = ["#6C63FF", "#FF6584", "#43E97B", "#F7971E", "#4FC3F7", "#CE93D8"]
-DARK_BG  = "#0F0F1A"
-CARD_BG  = "#1A1A2E"
+PALETTE = ["#4F8EF7", "#27C98F", "#F7654F", "#F7B84F", "#A78BFA", "#34D399"]
+DARK_BG  = "#F7F8FC"
+CARD_BG  = "#FFFFFF"
 
 
 # ─── LLM Setup ───────────────────────────────────────────────────────────────
 def get_llm(api_key: str):
     return ChatGoogleGenerativeAI(
-        model="gemini-2.5-flash",
+        model="gemini-1.5-flash",
         google_api_key=api_key,
         temperature=0.3,
         convert_system_message_to_human=True,
@@ -169,7 +169,7 @@ def make_plotly_chart(chart_type: str, df: pd.DataFrame, profile: dict,
     num_cols = profile["numeric_columns"]
     cat_cols = profile["categorical_columns"]
 
-    template = "plotly_dark"
+    template = "plotly_white"
 
     if chart_type == "correlation_heatmap" and len(num_cols) >= 2:
         corr = df[num_cols].corr().round(2)
@@ -276,7 +276,7 @@ def make_plotly_chart(chart_type: str, df: pd.DataFrame, profile: dict,
     fig.update_layout(
         paper_bgcolor=DARK_BG,
         plot_bgcolor=CARD_BG,
-        font=dict(family="DM Sans, sans-serif", color="#E0E0FF"),
+        font=dict(family="DM Sans, sans-serif", color="#1A202C"),
         margin=dict(l=40, r=40, t=60, b=40),
     )
     return fig