Update app.py

app.py

@@ -64,8 +64,8 @@ def load_csv(file):
     return df, gr.update(choices=numeric_cols, value=numeric_cols[:5])
 
 # ---------- Main Analysis ----------
-def analyze(df, selected_kpis, progress=gr.Progress(track_tqdm=False)):
-    start_time = time.time()
+def analyze(df, selected_kpis, progress=gr.Progress()):
+    start = time.time()
     print("✅ Analyze function triggered")
 
     if df is None or not selected_kpis:
@@ -77,7 +77,6 @@ def analyze(df, selected_kpis, progress=gr.Progress(track_tqdm=False)):
     explanations = []
     total = len(selected_kpis)
 
-    # ---- KPI Analysis ----
     for i, kpi in enumerate(selected_kpis):
         progress((i + 1) / total, desc=f"Analyzing {kpi}...")
 
@@ -87,27 +86,25 @@ def analyze(df, selected_kpis, progress=gr.Progress(track_tqdm=False)):
 
         results.append((kpi, trend, score, vals))
 
-    # ---- Sort by score ----
     ranked = sorted(results, key=lambda x: x[2], reverse=True)
 
-    # ---- LLM Explanations for Top 5 ----
+    # LLM step
     progress(0.9, desc="Generating LLM explanations...")
 
     for kpi, trend, score, vals in ranked[:5]:
+        short_vals = vals[:50]   # ✅ FIX TOKEN OVERFLOW
         try:
-            exp = explain(kpi, vals, trend)
+            exp = explain(kpi, short_vals, trend)
         except Exception as e:
             exp = f"⚠️ LLM Error: {str(e)}"
         explanations.append(f"**{kpi}** → {exp}")
 
     progress(1.0, desc="Done ✅")
 
-    # ---- Time Taken ----
-    elapsed = round(time.time() - start_time, 2)
+    elapsed = round(time.time() - start, 2)
 
-    # ---- Output ----
-    text = f"⏱️ Time taken: {elapsed} seconds\n\n"
-    text += "## 🔥 Top 5 KPIs with Biggest Change\n"
+    text = f"⏱ Time taken: {elapsed}s\n\n"
+    text += "## 🔥 Top 5 KPIs\n"
 
     for kpi, trend, score, _ in ranked[:5]:
         text += f"**{kpi}** → {trend} (Score: {score})\n\n"
@@ -116,10 +113,6 @@ def analyze(df, selected_kpis, progress=gr.Progress(track_tqdm=False)):
     for e in explanations:
         text += f"{e}\n\n"
 
-    text += "## 📊 Full Ranking\n"
-    for kpi, trend, score, _ in ranked:
-        text += f"- {kpi}: {trend} | Score {score}\n"
-
     return text
 
 # ---------- UI ----------