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ba39ad7 9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 dad7995 3a83eae 7a52a82 dad7995 9b5b26a 8c01ffb 6aae614 ae7a494 ba39ad7 13d500a 8c01ffb ba39ad7 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 6a735d4 8c01ffb 861422e 8fe992b 9b5b26a 142862d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | #from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
from smolagents import CodeAgent,DuckDuckGoSearchTool, OpenAIServerModel,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 ?"
@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
"""
A tool that repeats the input string in uppercase a given number of times.
Args:
arg1: the string to repeat
arg2: the number of repetitions
"""
repeated = (arg1.upper() + " ") * arg2
return repeated.strip()
@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,
#)
model = OpenAIServerModel(
max_tokens=2096,
temperature=0.5,
model_id="gpt-4o",
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], ## add your tools here (don't remove final answer)
tools=[get_current_time_in_timezone, final_answer], ## 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() |