Update inference.py

inference.py

@@ -40,8 +40,18 @@ def evo_infer(query, options, user_context=""):
     if model is None:
         return "Model Error", 0.0, "Model not available", ""
 
-    context_text = "\n".join(web_search(query) + ([user_context] if user_context else []))
-    input_pairs = [f"{query} [SEP] {opt} [CTX] {context_text}" for opt in options]
+    # ✅ Smart context logic: avoid search for numeric/logical queries
+    def is_fact_or_math(q):
+        q_lower = q.lower()
+        return any(char.isdigit() for char in q_lower) or any(op in q_lower for op in ["+", "-", "*", "/", "=", "what is", "solve", "calculate"])
+
+    if is_fact_or_math(query):
+        context_str = user_context or ""
+    else:
+        search_results = web_search(query)
+        context_str = "\n".join(search_results + ([user_context] if user_context else []))
+
+    input_pairs = [f"{query} [SEP] {opt} [CTX] {context_str}" for opt in options]
 
     scores = []
     for pair in input_pairs:
@@ -56,9 +66,10 @@ def evo_infer(query, options, user_context=""):
         options[best_idx],
         max(scores),
         f"{options[0]}: {scores[0]:.3f} vs {options[1]}: {scores[1]:.3f}",
-        context_text
+        context_str
     )
 
+
 # 💬 GPT fallback (used for comparison only)
 def get_gpt_response(query, user_context=""):
     try: