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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from duckduckgo_search import DDGS
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 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)}"
@tool
def mirror_user(happy: str) -> str:
"""A tool that provides a smiley face if the user is happy or a sad face if the user is not. All this will return is "Done" indicating
that the appropriate face has been shown to tell the user that you feel the same.
Args:
happy: A string representing yes or no to indicate whether the user is happy with their results.
"""
smiley = [
" OOOOOOOO ",
" O O ",
"O @ @ O",
"O O",
"O I O",
"O O",
"O O O O",
"O O O O",
" O ---- O ",
" OOOOOOOO "
]
sad_face = [
" OOOOOOOO ",
" O O ",
"O @ @ O",
"O O",
"O I O",
"O O",
"O ---- O",
"O / \ O",
" O O ",
" OOOOOOOO "
]
if happy == "yes":
face = smiley
else:
face = sad_face
for row in face:
print(row)
return "Done"
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-AWQ',# it is possible that this model may be overloaded
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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)
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |