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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 huggingface_hub import InferenceClient
from Gradio_UI import GradioUI
import os
HF_API_KEY = os.getenv("HF_API_KEY")
client = InferenceClient(
model="Qwen/Qwen2.5-Coder-32B-Instruct",
token=HF_API_KEY
)
@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)}"
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def guess_city_for_timezone(timezone: str) -> str:
'''A tool to guess a city in a timezone
Args:
timezone: A string representing a valid timezone (e.g., 'America/New_York').
'''
known_timezones_to_cities = {
"America/Los_Angeles": "Los Angeles",
"America/New_York": "New York",
"UTC-8": "Some West Coast city (e.g. Seattle)"
# ...
}
return known_timezones_to_cities.get(timezone, "Unknown City")
@tool
def weather_art(timezone: str, local_time: str)-> 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 to generate an image to match the time of date returned from the get_current_time_in_timezone tool
Args:
timezone: the timezone in question. guess the location to generate withint eh timezone.
local_time: current time in the selected timezone.
"""
image_prompt = "describe an image that uses your timezone location guess and the time of day at that time."
return image_prompt
# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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',# it is possible that this model may be overloaded
custom_role_conversions=None
)
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[get_current_time_in_timezone, weather_art, image_generation_tool, final_answer], ## 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
)
GradioUI(agent).launch() |