Update app.py

app.py

@@ -307,24 +307,29 @@ class HybridSearchIndex:
         
         if spell_model is not None and spell_tokenizer is not None:
             try:
-                # "correct grammar: " is required by this specific lightweight model
-                input_text = "correct grammar: " + query
+                # 🔥 Fix: Query ko lowercase karke bhejenge taaki AI 'Laptp' ko Brand Name na samjhe!
+                q_lower = query.lower() 
+                input_text = "correct grammar: " + q_lower
                 input_ids = spell_tokenizer(input_text, return_tensors="pt").input_ids
                 
-                # CPU-Optimized Fast Inference
+                # Use slightly better parameters (num_beams=3) for smarter typo fixing
                 with torch.inference_mode():
-                    outputs = spell_model.generate(input_ids, max_length=20, num_beams=2, early_stopping=True)
+                    outputs = spell_model.generate(input_ids, max_length=25, num_beams=3, early_stopping=True)
                 
                 ai_corrected = spell_tokenizer.decode(outputs[0], skip_special_tokens=True).strip()
                 
-                # Validation: Punctuation hata kar match karte hain (ki meaning change na ho)
+                # Agar AI galti se wapas 'correct grammar:' print kar de, toh usko hata do
+                if ai_corrected.lower().startswith("correct grammar:"):
+                    ai_corrected = ai_corrected.replace("correct grammar:", "", 1).strip()
+                
                 q_clean = normalize_text(query)
                 ai_clean = normalize_text(ai_corrected)
                 
-                # Agar user ne galat type kiya hai tabhi change hoga, warna "ai for coding" same hi rahega
+                # Agar dono words alag hain tabhi corrected_query update hogi
                 if q_clean != ai_clean and len(ai_clean) > 0:
-                    corrected_query_str = ai_corrected
-                    search_query = ai_corrected
+                    # Har word ka pehla letter wapas Capital banayenge (Best Laptop Under 10000)
+                    corrected_query_str = ai_corrected.title() 
+                    search_query = corrected_query_str
             except Exception as e:
                 pass # Fail safe mechanism
 
@@ -512,11 +517,17 @@ async def pure_search(q: str = Query(...), content: bool = Query(False), debug:
         "request_id": req_id, 
         "query": q, 
         "corrected_query": corrected_query,
+        "intent": intent_info.get("intent", "GENERAL"),     # ✨ Yaha INTENT show hoga!
+        "intent_signals": intent_info.get("signals", []),   # ✨ Yaha show honge triggers (Jaise 'COMPARISON', 'NEWS')
         "images": global_images,      
         "results_count": len(top_5), 
         "results": top_5
     }
 
+    # Debugging on ki hai toh debug_features array bhi dega
+    if debug:
+        final_response["debug_mode"] = True
+
     if len(QUERY_CACHE) > MAX_CACHE_SIZE: QUERY_CACHE.clear()
     QUERY_CACHE[cache_key] = final_response