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import datetime
import requests
import pytz
import yaml
import random
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
Philippe is testing having his Pycharm connected to GIT
This is more complicated that it seems, but it should be set and forget hopefully
Try 3...4..5
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@tool
def get_random_name(nationality: str, page: int) -> str:
"""A tool that retrieves a random name
Args:
nationality: A string representing a valid nationality (e.g., 'Mexican' or 'American').
page: An integer representing the paginated page number (e.g., 1). Starting value: 1.
"""
try:
url = 'https://api.fbi.gov/wanted/v1/list'
params = {'nationality': nationality, 'page': page}
response = requests.get(url, params= params)
if response.status_code == 200:
data = response.json()
# get a random item of the list
nr_of_items = len(data['items'])
random_int = random.randint(0,nr_of_items-1)
# get the title and return it
return data['items'][random_int]["title"]
else:
# returning Error message string in case of bad status code
return f'ERROR - get_random_name() -> Response status code: {response.status_code}. Response reason: {response.reason}'
except Exception as e:
return f"ERROR - get_random_name() -> Exception: {e}"
@tool
def get_corporate_bullshit_text()-> str:
#Keep this format for the description / args / args description but feel free to modify the tool
"""A tool that retrieves one sentence of "corporate bullshit" as text.
Args:
None
"""
try:
url = 'https://corporatebs-generator.sameerkumar.website/'
response = requests.get(url)
if response.status_code == 200:
data = response.json()
return data['phrase']
else:
return f'Error - get_corporate_bullshit_text() -> Response status code: {response.status_code}. Response reason: {response.reason}'
except Exception as e:
return f"Error - get_corporate_bullshit_text() -> -> Exception: {e}"
@tool
def get_techy_phrases_text()-> str:
#Keep this format for the description / args / args description but feel free to modify the tool
"""A tool that generates one sentence of cool tech-savvy sounding phrases as text.
Args:
None
"""
try:
url = 'https://techy-api.vercel.app/api/json'
response = requests.get(url)
if response.status_code == 200:
data = response.json()
return data['message']
else:
return f'Error - get_techy_bullshit_text() -> Response status code: {response.status_code}. Response reason: {response.reason}'
except Exception as e:
return f"Error - get_techy_bullshit_text() -> -> Exception: {e}"
@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'
# default is: model_id='Qwen/Qwen2.5-Coder-32B-Instruct'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', # 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
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,
get_corporate_bullshit_text,
get_techy_phrases_text,
get_random_name
], ## 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() |