app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool, LiteLLMModel
from transformers import pipeline
import datetime
import requests
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !


# Tool to classify text into politeness categories
@tool
def ask_polite_guard(input_text: str) -> dict:
    """Tool that classifies text into four categories: polite, somewhat polite, neutral, and impolite.

    Args:
        input_text: The text to classify.
    """
    try:
        classifier = pipeline("text-classification", "Intel/polite-guard")
        return {
            "label": result['label'],
            "score": result['score']
        }
        
    except Exception as e:
        return f"Error fetching classification for text '{input_text}': {str(e)}"

@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()


# model = HfApiModel(
# max_tokens=2096,
# temperature=0.5,
# model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    # it is possible that this model may be overloaded
# custom_role_conversions=None,
# )

model = LiteLLMModel(
  model_id="gemini/gemini-2.0-flash-exp",
  max_tokens=2096,
  temperature=0.6,
  api_key=os.getenv("LITELLM_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)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, ask_polite_guard, get_current_time_in_timezone ], ## 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()