app.py

import os

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,OpenAIServerModel, load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from tools.zet import create_link_to_public_transport_map, terminus_to_routes
from tools.web_search import DuckDuckGoSearchTool
from typing import List

from Gradio_UI import GradioUI

# @tool
# def get_route_for_terminus(terminus: str): -> int:
#     """A tool that fetches the route number for a given terminus.
#     Args:
#         terminus: the terminus to search for
#     """
#     ...


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,
# )

model = OpenAIServerModel(
    model_id="gpt-4o-mini",
    api_key=os.getenv("OPENAI_API_KEY"),
    temperature=0.5,
    max_tokens=2096,
)


# 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, create_link_to_public_transport_map, terminus_to_routes],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()