app.py

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

from Gradio_UI import GradioUI


from typing import Optional

import requests

# from smolagents.agents import ToolCallingAgent
from smolagents import CodeAgent, HfApiModel


# Choose which LLM engine to use!
model = HfApiModel()
# model = TransformersModel(model_id="meta-llama/Llama-3.2-2B-Instruct")

# For anthropic: change model_id below to 'anthropic/claude-3-5-sonnet-20240620'
# model = LiteLLMModel(model_id="gt-4o")


# If the agent does not answer, the model is overloaded, please use another model or the original Hugging Face Endpoint for contains qwen2.5 coder:
# 'Qwen/Qwen2.5-Coder-32B-Instruct'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', # Endpoint with 'Qwen/Qwen2.5-Coder-32B-Instruct'
custom_role_conversions=None,
)

# Init tools
final_answer = FinalAnswerTool()
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
search_tool = DuckDuckGoSearchTool()

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[
            final_answer,
            search_tool,
            image_generation_tool,
            convert_currency,
            get_weather,
            get_news_headlines,
            get_joke,
            get_random_fact,
            search_wikipedia,
            get_current_time_in_timezone
          ],
    max_steps=10,
    verbosity_level=4,
    grammar=None,
    planning_interval=3,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch(share=True)