Fix ui

app.py

@@ -31,6 +31,10 @@ model.eval()
 
 # ─── VISUAL THEME (Dark) ───────────────────────────────────────────────────────
 CSS = """
+.gradio-container {
+  box-shadow: none !important;
+  border: none !important;
+}
 :root{
   --bg:#0b1020; --bg-2:#10172e; --panel:#141b34; --panel-2:#0f172a;
   --border:#263154; --fg:#e7ecf5; --muted:#b9c2d3; --placeholder:#7c8195;
@@ -209,11 +213,11 @@ def infer_chatts_stream(prompt: str, csv_file, use_default):
 
 # ─── EXAMPLES (semantic names) ─────────────────────────────────────────────────
 EXAMPLE_PROMPTS = {
-    "🔍 Detect Spikes": "Identify all spikes in each series <ts><ts/> and report timestamps and magnitudes. Explain briefly.",
-    "📈 Trend & Seasonality": "Describe the trend and seasonality for the provided time series <ts><ts/>. Estimate the dominant period length and amplitude.",
-    "🔗 Compare Metrics": "Compare the two series <ts><ts/>. Are there lagged correlations? Estimate the lag and correlation strength.",
-    "⚡ Local Change Analysis": "Find intervals with >10% rise or drop relative to the prior 20 points for <ts><ts/>. Return intervals and reasons.",
-    "📊 Correlation Strength": "Quantify Pearson correlation between each pair of series <ts><ts/> and highlight the strongest positive/negative pairs."
+    "🔍 Detect Spikes": "Identify all spikes in each series and report timestamps and magnitudes. Explain briefly.",
+    "📈 Trend & Seasonality": "Describe the trend and seasonality for the provided time series TS1.",
+    "🔗 Compare Metrics": "Compare the two series (TS1 and TS2). Are there lagged correlations? Estimate the lag and correlation strength.",
+    "⚡ Local Change Analysis": "Find intervals with >10% rise or drop relative to the prior 20 points for TS1. Return intervals and reasons.",
+    "📊 Correlation Strength": "Quantify Pearson correlation between each pair of series (TS1 and TS2) and highlight the strongest positive/negative pairs."
 }
 
 # ─── UI ────────────────────────────────────────────────────────────────────────