Add no-token fallback

app.py

@@ -52,6 +52,19 @@ def safe_execute_code(code: str, df: pd.DataFrame, timeout: int = 5) -> tuple:
 
 def generate_analysis_code(question: str, df_info: str) -> str:
     """Generate pandas code using LLM"""
+    if not os.getenv("HF_TOKEN"):
+        q = question.lower()
+        if "correlation" in q or "correlat" in q:
+            return "result = df.select_dtypes(include='number').corr()"
+        if "top" in q:
+            return "result = df.head(10)"
+        if "average" in q or "mean" in q:
+            return "result = df.select_dtypes(include='number').mean().sort_values(ascending=False)"
+        if "distribution" in q or "histogram" in q:
+            return "numeric_cols = df.select_dtypes(include='number').columns\nresult = df[numeric_cols].describe()\nfig = px.histogram(df, x=numeric_cols[0]) if len(numeric_cols) else None"
+        if "missing" in q or "null" in q:
+            return "result = df.isna().sum().sort_values(ascending=False)"
+        return "result = df.describe(include='all').transpose()"
 
     prompt = f"""You are a data analyst. Generate Python pandas code to answer this question.