app.py

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

from Gradio_UI import GradioUI

@tool
def recommend_pet(personality: str) -> str:
    """A tool that recommends a pet based on your personality description.
    
    Args:
        personality: A description of your personality traits.
        
    Returns:
        A string with a pet recommendation.
    """
    # Normalize input to lowercase for matching.
    personality_lower = personality.lower()
    
    # Map personality traits to pet suggestions.
    traits_to_pets = {
        "shy": "cat",
        "curious": "cat",
        "energetic": "dog",
        "active": "dog",
        "calm": "fish",
        "peaceful": "fish",
        "adventurous": "ferret",
        "creative": "parrot",
        "imaginative": "parrot"
    }
    
    # Count matching traits for each pet.
    scores = {}
    for trait, pet in traits_to_pets.items():
        if trait in personality_lower:
            scores[pet] = scores.get(pet, 0) + 1

    # If any traits matched, select the pet with the highest score.
    # Otherwise, default to "cat".
    if scores:
        recommended_pet = max(scores, key=scores.get)
    else:
        recommended_pet = "cat"
    
    return f"Based on your personality ('{personality}'), I recommend a {recommended_pet} as your companion!"


final_answer = FinalAnswerTool()

# 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' 

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
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', 
custom_role_conversions=None,
)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer,recommend_pet], ## 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()