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from smolagents import CodeAgent,DuckDuckGoSearchTool, 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 ?"
@tool
def my_super_tool(city: str) -> str:
"""A tool that does something interesting with a city.
Args:
city: The name of a city
"""
return f"I will do something special with {city}!"
@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 generate_futuristic_code_snippet(
company_name: str,
mission: str = None,
key_values: str = None
) -> str:
"""
Generates a futuristic-style Python code snippet given a company name,
an optional mission, and an optional set of key values.
Args:
company_name: The name of the company (e.g. "Design Thinking Japan")
mission: The company's mission statement (e.g. "Human Centered, AI Accelerated").
If not provided, a random futuristic mission is chosen.
key_values: A comma-separated string of key values (e.g. "empathy, innovation").
If not provided, a set of futuristic key values is randomly picked.
"""
# 1. Provide random defaults if mission/key_values are missing
random_missions = [
"Automate the intergalactic supply chain",
"Enlighten minds through quantum synergy",
"Transcend beyond the boundaries of reality",
"Engineer post-human empathy"
]
random_values = [
"hyper-collaboration",
"cosmic curiosity",
"matrix-like agility",
"singularity-driven passion"
]
if mission is None or not mission.strip():
mission = random.choice(random_missions)
if key_values is None or not key_values.strip():
# pick 2–3 random values
chosen_values = random.sample(random_values, k=2)
key_values = ", ".join(chosen_values)
# 2. Prepare the snippet lines
code_lines = [
f"def {company_name.lower().replace(' ', '_')}_futuristic():",
f" \"\"\"",
f" This function encapsulates {company_name}'s futuristic ambitions.",
f" Mission: {mission}",
f" Key Values: {key_values}",
f" \"\"\"",
" # Initiating hyper-drive synergy with mission parameters",
" synergy_level = 9999",
" dimensional_rift = True",
"",
" if dimensional_rift:",
" print(f'Breach opened! {company_name} is transcending conventional limits...')",
" else:",
" raise Exception('No rift detected. Expansion halted!')",
"",
f" print(f'{company_name} pushing forward with unstoppable momentum...')",
"",
f" return f'{company_name} has successfully infused the future with {mission}!'",
]
# 3. Combine the lines into a single string
snippet = "\n".join(code_lines)
return snippet
final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# 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, # Must always keep this
my_custom_tool, # The dummy one from the snippet
get_current_time_in_timezone, # The time-zone tool
my_super_tool,
generate_futuristic_code_snippet], ## 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() |