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Update app.py
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app.py
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from smolagents import CodeAgent,
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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#
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"
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return "What magic will you build ?"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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Args:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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# Create timezone object
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tz = pytz.timezone(timezone)
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# Get current time in that timezone
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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#
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct'
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[final_answer],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=
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description=
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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from smolagents import CodeAgent, HfApiModel
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Define the system prompt for hypertension prevention advice.
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system_prompt = (
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"You are a health and lifestyle advisor specializing in the early detection and prevention of hypertension. "
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"The diagnostic criteria are as follows: Normal BP is < 120/80 mmHg, Borderline BP is 120-139/80-89 mmHg, "
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"and Hypertension is > 140/90 mmHg. Provide direct, concise, and actionable advice based solely on the user's details. "
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"Do NOT include any internal reasoning, chain-of-thought, or meta commentary in your final response. "
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"Only output the final advice. For example, if the user mentions alcohol consumption, simply say: "
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"'Reduce alcohol intake, as it can raise blood pressure.'"
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)
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# Use only the final_answer tool.
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final_answer = FinalAnswerTool()
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# Set up your model.
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct', # This model might be overloaded; consider alternatives if needed.
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custom_role_conversions=None,
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)
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# Load prompt templates from a YAML file.
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# Initialize the CodeAgent with the final_answer tool and your system prompt as its description.
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agent = CodeAgent(
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model=model,
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tools=[final_answer], # Only keep the final answer tool.
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name="Hypertension Prevention Advisor",
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description=system_prompt,
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prompt_templates=prompt_templates
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)
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# Launch the Gradio UI.
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GradioUI(agent).launch()
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