Update app.py

app.py

@@ -10,15 +10,22 @@ llm = Llama.from_pretrained(
     filename="Reasoning-Llama-1b-v0.1-f16.gguf",
 )
 
+# Fixed system message
+FIXED_SYSTEM_MESSAGE = "You are an artifial inteligence created by the ACC(Algorithmic Computer-generated Consciousness)."
+
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
+    user_system_message,  # User-configurable system message
     max_tokens,
     temperature,
     top_p,
 ):
-    messages = [{"role": "system", "content": system_message}]
+    # Combine the fixed and user-provided system messages
+    combined_system_message = f"{FIXED_SYSTEM_MESSAGE} {user_system_message}"
+
+    # Construct the messages list
+    messages = [{"role": "system", "content": combined_system_message}]
 
     for val in history:
         if val[0]:
@@ -42,18 +49,19 @@ def respond(
         response += token
         yield response
 
+# Gradio interface
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly, conversational, helpful, and informative chatbot, designed to help users as best as possible. Responses should be quirky and fun to read, including the use of appropriate emojis in answers, wherever necesssary.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Textbox(value="", label="System Message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Maximum response length"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Creativity"),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,
             value=0.95,
             step=0.05,
-            label="Top-p (nucleus sampling)",
+            label="Neural Activity",
         ),
     ],
 )