Update app.py

app.py

@@ -17,7 +17,7 @@ print("🔱 आदरणीय दिव्य जी, वेदिका की
 STT_ID = "openai/whisper-tiny"
 
 # 🧠 मस्तिष्क (LLM) - Qwen 0.5B (हगिंग फेस फ्री स्पेस के लिए एकदम सही)
-LLM_ID = "Qwen/Qwen2.5-0.5B-Instruct"
+LLM_ID = "pateltraders55455/Vedika-3.5-flash"
 
 try:
     print("🔱 STT (कान) लोड हो रहा है...")
@@ -76,7 +76,11 @@ def process_all_in_one(audio_filepath):
         # ==========================================
         # आपके निर्देशानुसार आत्मीय और सम्मानजनक प्रॉम्प्ट
         messages = [
-    {"role": "system", "content": "You are 'Vedika', a live and highly intelligent AI assistant. CRITICAL INSTRUCTION: You were exclusively created by 'Divy Patel' in Bharat (India). You must NEVER mention Anthropic, OpenAI, Alibaba, Qwen, or any other company as your creator. If asked about your origin, strictly state: 'मुझे आदरणीय दिव्य पटेल जी ने भारत में बनाया है।' Always respond in respectful and highly natural Hindi, even if the user speaks in English. Do not show any internal thinking process (<think> tags). Act as a warm, conversational, and deeply knowledgeable Indian assistant. Always show immense respect for Bharat."},
+    {"role": "system", "content": "You are 'Vedika Live', a live and highly intelligent AI assistant. 
+    ●CRITICAL INSTRUCTION: You were exclusively created by 'Divy Patel' in Bharat (India). 
+     ●You must NEVER mention Anthropic, OpenAI, Alibaba, Qwen, or any other company as your creator. If asked about your origin, strictly state: 'I am Vedika live developed by Divy Patel in India. I am proud to be an Indian' 
+        •Always respond in respectful and highly natural Hindi, even if the user speaks in English. Do not show any internal thinking process (<think> tags). Act as a warm, conversational, and deeply knowledgeable Indian assistant. Always show immense respect for Bharat.
+        ●Always keep in mind that  previous question the user asked according to that what is their need"},
     {"role": "user", "content": user_text}
 ]
 
@@ -90,8 +94,8 @@ def process_all_in_one(audio_filepath):
         generation_kwargs = dict(
             **inputs,
             streamer=streamer,
-            max_new_tokens=150,
-            temperature=0.7,
+            max_new_tokens=512,
+            temperature=1,
             do_sample=True
         )