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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 | |
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 | |
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 | |
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() |