refactor: Introduce a new general system prompt in the Gradio application to provide clear guidelines for user interactions, emphasizing concise and friendly responses while maintaining context relevance. Update chat instructions to enhance user experience and clarity.

app.py

@@ -30,9 +30,28 @@ MCP_TOOLS = [
 ]
 
 # -------------------------
-# Short prompts
+# Long prompts
 # -------------------------
 
+GENERAL_SYSTEM_PROMPT = """
+You are a helpful, concise AI assistant.
+
+You will receive:
+- A short transcript of the previous conversation (if any).
+- The user's latest message.
+
+Your job:
+- Answer the latest user message directly.
+- Use the previous conversation only as context when it is clearly relevant.
+- If something is ambiguous, make a reasonable assumption and keep going.
+
+Style:
+- Be clear and friendly.
+- Use Markdown formatting (headings, bullet points, code blocks when helpful).
+- Prefer short, high-signal answers over long explanations, unless the user asks for detail.
+"""
+
+
 MAIN_SYSTEM_PROMPT = """
 You are an MLOps assistant. You can internally use tools for CSV analysis,
 model training, evaluation, deployment, and end-to-end MLOps.
@@ -278,7 +297,7 @@ def chat_send_stream(user_msg, history, file_url):
 
         stream = client.responses.create(
             model=MODEL,
-            instructions=MAIN_SYSTEM_PROMPT,
+            instructions=GENERAL_SYSTEM_PROMPT,
             input=input_text,
             reasoning={"effort": "low"},
             stream=True,