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from smolagents import CodeAgent, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
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
#def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
# #Keep this format for the description / args / args description but feel free to modify the tool
# """A tool that does nothing yet
# Args:
# arg1: the first argument
# arg2: the second argument
# """
# return "What magic will you build ?"
# Load the DuckDuckGo search tool
search_model = HfApiModel("Intelligent-Internet/II-Search-4B", return_text=True)
@tool
def my_custom_tool(city1: str, city2: str) -> str:
"""
A tool that searches for the top 5 sightseeing locations in two cities.
Args:
city1: The name of the first city.
city2: The name of the second city.
Returns:
A string listing the top 5 sightseeing locations in each city.
"""
# Search for top 5 sightseeing locations in city1
results_city1 = search_model(f"top 5 sightseeing locations in {city1}").split("\n")
# Search for top 5 sightseeing locations in city2
results_city2 = search_model(f"top 5 sightseeing locations in {city2}").split("\n")
# Format the results as a string
output = f"Top 5 sightseeing locations in {city1}:\n"
output += "\n".join(results_city1[:5]) + "\n\n"
output += f"Top 5 sightseeing locations in {city2}:\n"
output += "\n".join(results_city2[:5])
return output
@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()
# 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_current_time_in_timezone,my_custom_tool ], ## 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
)
my_custom_tool("Berlin","Bremen")
GradioUI(agent).launch() |