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import yaml
from smolagents import CodeAgent, HfApiModel
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# Simplified system prompt without any code-related instructions
system_prompt = (
"You are a health and lifestyle advisor specializing in the early detection and prevention of hypertension. "
"Provide direct and concise lifestyle advice based on the user's details. "
"Output a clear answer as plain text with no extra commentary."
)
def clean_response(text):
"""
Simple cleanup function that removes extra whitespace and ensures proper formatting.
"""
# Remove extra whitespace
text = ' '.join(text.split())
# Split into paragraphs for readability
paragraphs = text.split('\n\n')
cleaned_paragraphs = [p.strip() for p in paragraphs if p.strip()]
return '\n\n'.join(cleaned_paragraphs)
# Load prompt templates from YAML
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
# Initialize the model with simplified settings
model = HfApiModel(
max_tokens=1024,
temperature=0.5,
model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/',
token='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/'
)
# Initialize CodeAgent with minimal configuration
agent = CodeAgent(
model=model,
tools=[FinalAnswerTool()],
max_steps=1,
verbosity_level=0,
name="Health Advisor",
description=system_prompt,
prompt_templates=prompt_templates
)
def run_agent(user_input):
"""
Runs the agent and returns a clean, formatted response.
"""
try:
response = agent.run(user_input)
return clean_response(response)
except Exception as e:
return f"I apologize, but I couldn't process your request. Please try again."
# Launch the Gradio UI
GradioUI(agent).launch()
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