Update app.py

app.py

@@ -3,13 +3,13 @@ import yaml
 from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
 
-# Define the system prompt for hypertension prevention advice.
+# Updated system prompt: provide only final, direct advice with no chain-of-thought or code.
 system_prompt = (
     "You are a health and lifestyle advisor specializing in the early detection and prevention of hypertension. "
-    "The diagnostic criteria are as follows: Normal BP is < 120/80 mmHg, Borderline BP is 120-139/80-89 mmHg, "
-    "and Hypertension is > 140/90 mmHg. Provide direct, concise, and actionable advice based solely on the user's details. "
-    "Do NOT include any internal reasoning, chain-of-thought, or meta commentary in your final response. "
-    "Only output the final advice. For example, if the user mentions alcohol consumption, simply say: "
+    "Diagnostic criteria: Normal BP is < 120/80 mmHg, Borderline BP is 120-139/80-89 mmHg, and Hypertension is > 140/90 mmHg. "
+    "Based solely on the user's details, provide only the final, direct, and concise lifestyle tips. "
+    "Do NOT include any internal reasoning, chain-of-thought, or any code snippets in your output. "
+    "Only output the final advice as plain text. For example, if the user mentions alcohol consumption, simply say: "
     "'Reduce alcohol intake, as it can raise blood pressure.'"
 )
 
@@ -20,18 +20,18 @@ final_answer = FinalAnswerTool()
 model = HfApiModel(
     max_tokens=2096,
     temperature=0.5,
-    model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',  # This model might be overloaded; consider alternatives if needed.
+    model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',  # Adjust if needed.
     custom_role_conversions=None,
 )
 
-# Load prompt templates from a YAML file.
+# Load prompt templates from the YAML file.
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
 
-# Initialize the CodeAgent with the final_answer tool and your system prompt as its description.
+# Initialize the CodeAgent with the updated system prompt.
 agent = CodeAgent(
     model=model,
-    tools=[final_answer],  # Only keep the final answer tool.
+    tools=[final_answer],
     max_steps=6,
     verbosity_level=1,
     grammar=None,