app.py

from smolagents import CodeAgent, load_tool, tool, LiteLLMModel
import datetime
import os
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from tools.calories_checker import CaloriesCheckerTool

from Gradio_UI import GradioUI


@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"


final_answer = FinalAnswerTool()
calories_checker = CaloriesCheckerTool()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'

gemini_api_key = os.environ.get("GEMINI_API_KEY", None)
model = LiteLLMModel(
    model_id="gemini/gemini-2.0-flash-lite",
    api_key=gemini_api_key,
)

# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", "r") as stream:
    prompt_templates = yaml.safe_load(stream)

prompt_templates["final_answer"] = {
    "pre_messages": "",
    "final_answer": "Here is the final answer from your managed agent '{{name}}':\n{{final_answer}}",
    "post_messages": "",
}

# print("Loaded prompt templates:", prompt_templates)
# Initialize the CodeAgent with the model and tools
agent = CodeAgent(
    model=model,
    tools=[
        final_answer,
        calories_checker,
    ],  ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates,
)

GradioUI(agent).launch()