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
import giphy_client
from giphy_client.rest import ApiException
import random

from Gradio_UI import GradioUI


API_KEY = "TUIRcl9MzEBwR4p3eoF8LmMmwQQXXtPq"

api = giphy_client.DefaultApi()

@tool
def get_gif(query: str) -> str:
    """Fetch a single GIF URL from GIPHY based on a search query.
    Args:
        query (str): The search term (e.g. "funny cat", "excited", "monday mood").
    Returns:
        str: The URL of a randomly selected GIF that matches the query,
             or None if no results are found or an API error occurs.
    Example:
        >>> get_gif("funny dog")
        'https://media2.giphy.com/media/l0MYt5jPR6QX5pnqM/giphy.gif'
    """
    try:
        res = api.gifs_search_get(API_KEY, q=query, limit=10, rating="pg")
        if not res.data:
            return None
        gif = random.choice(res.data)
        return gif.images.original.url
    except ApiException as e:
        print("Giphy API error:", e)
        return None

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
custom_role_conversions=None,
)


# 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, get_gif], ## 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()