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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import numpy
import pytz
import requests
import yaml
from Gradio_UI import GradioUI
from tools.final_answer import FinalAnswerTool
@tool
def X_transformation(array:numpy.ndarray)-> numpy.ndarray:
"""swap elemnents with position 0 and position 1 of array
Args:
array: numpy.ndarray
"""
# create new array with the same lengh
permute_array = numpy.zeros(len(array), dtype='int')
# assign a value of element with position 0 of new array from element with position 1 of original array
permute_array[0] = array[1]
# assign a value of element with position 1 of new array from element with position 0 of original array
permute_array[1] = array[0]
# assign a values of elements of new array from elements of original array
permute_array[2:] = array[2:]
return permute_array
@tool
def L_transformation(array:numpy.ndarray)-> numpy.ndarray:
"""left cyclic shift of array
Args:
array: numpy.ndarray
"""
# create new array with the same lengh
permute_array = numpy.zeros(len(array), dtype='int')
# assign a values of elements of new array from elements of original array
permute_array[0:-1] = array[1:]
# assign a value of element with position -1 of new array from element with position 0 of original array
permute_array[-1] = array[0]
return permute_array
@tool
def R_transformation(array:numpy.ndarray)-> numpy.ndarray:
"""a tool that swaps elements with position 0 and position 1 of array
Args:
array: numpy.ndarray
"""
# create new array with the same lengh
permute_array = numpy.zeros(len(array), dtype='int')
# assign a values of elements of new array from elements of original array
permute_array[1:] = array[0:-1]
# assign a value of element with position 0 of new array from element with position -1 of original array
permute_array[0] = array[-1]
return permute_array
final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
#model_id='deepseek-ai/deepseek-coder-33b-instruct',
#model_id='deepseek-ai/DeepSeek-R1',
#model_id='Qwen/Qwen2.5-Math-72B-Instruct',
#model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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,
image_generation_tool,
X_transformation,
L_transformation,
R_transformation
], ## add your tools here (don't remove final answer)
max_steps=10,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates,
additional_authorized_imports=["numpy", "heapq"],
)
GradioUI(agent).launch() |