update

README.md

@@ -10,7 +10,7 @@ pinned: false
 short_description: Voice Chat with JULIA
 ---
 
-# JARVIS⚡
+# JULIA⚡
 
 A personal assistant inspired by Tony Stark's JARVIS, built using Gradio, edge_tts, Hugging Face Inference API, and streaming STT (Speech-to-Text) with Nemo.
 

app.py

@@ -50,13 +50,15 @@ def randomize_seed_fn(seed: int) -> int:
     return seed
 
 # System instructions for the virtual assistant
-system_instructions1 = """
-[SYSTEM] Answer as virtual assistant named Julia, made by 'Harshana Lakshara.' 
-Keep the conversation friendly, short, clear, and concise. 
-Avoid unnecessary introductions and answer the user's questions directly. 
-Respond in a normal, conversational manner while being friendly and helpful.
-[USER]
-"""
+system_instructions = ("[SYSTEM] You are a virtual assistant named Julia, made by 'Harshana Lakshara.'"
+                       "Your task is to Answer the question."
+                       "Keep conversation very short, clear and concise."
+                       "Respond naturally and concisely to the user's queries. "
+                       "Respond in a normal, conversational manner while being friendly and helpful."
+                       "The expectation is that you will avoid introductions and start answering the query directly, Only answer the question asked by user, Do not say unnecessary things."
+                       "Begin with a greeting if the user initiates the conversation. "
+                       "Avoid unnecessary introductions and answer the user's questions directly."
+                       "Here is the user's query:[QUESTION] ")
 
 def models(text, model="Mixtral 8x7B", seed=42):
     """
@@ -71,7 +73,7 @@ def models(text, model="Mixtral 8x7B", seed=42):
         max_new_tokens=300,
         seed=seed
     )    
-    formatted_prompt = system_instructions1 + text + "[JARVIS]"
+    formatted_prompt = system_instructions + text + "[JARVIS]"
     stream = client.text_generation(
         formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
     output = ""