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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import os
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 get_temperature(location: str, temp_scale: str = "celsius") -> tuple[float, str, str]:
"""A tool that fetches the current temperature and provides a qualitative description.
Args:
location: The name of the city/location
temp_scale: Temperature scale to use ('celsius' or 'fahrenheit')
Returns:
tuple: A tuple containing:
- temperature (float): The numerical temperature value
- unit (str): The temperature unit ('C' or 'F')
- description (str): How the temperature feels (freezing/cold/mild/warm/hot)
Usage:
Always provide temperature value and qualitative description.
temp, unit, feel = get_temperature("Warsaw", "celsius")
Example output: (-2.4, 'C', 'freezing')
Formatted: "The current temperature in Warsaw is -2.4°C - it feels freezing"
"""
def get_description(temp_c: float) -> str:
"""Get qualitative description based on Celsius temperature"""
if temp_c <= 0: return "freezing"
if temp_c <= 10: return "cold"
if temp_c <= 20: return "mild"
if temp_c <= 30: return "warm"
return "hot"
def to_celsius(f: float) -> float:
"""Convert Fahrenheit to Celsius"""
return (f - 32) * 5/9
def to_fahrenheit(c: float) -> float:
"""Convert Celsius to Fahrenheit"""
return (c * 9/5) + 32
try:
API_KEY = os.environ.get('WEATHER_API_KEY')
if not API_KEY:
return "Error: Weather API key not configured"
# Temperature scale definitions
temp_scale = temp_scale.lower()
if temp_scale not in ["celsius", "fahrenheit"]:
raise ValueError("temp_scale must be either 'celsius' or 'fahrenheit'")
units = 'metric' if temp_scale == "celsius" else 'imperial'
url = f"http://api.openweathermap.org/data/2.5/weather?q={location}&appid={API_KEY}&units={units}"
response = requests.get(url, timeout=10)
data = response.json()
if response.status_code == 200:
temp = data["main"]["temp"]
unit = 'C' if temp_scale == "celsius" else 'F'
# Convert to Celsius for description if needed
temp_c = temp if temp_scale == "celsius" else to_celsius(temp)
description = get_description(temp_c)
return (temp, unit, description)
else:
error_msg = data.get('message', 'Unknown error')
raise Exception(f"API Error: {error_msg} (Status code: {response.status_code})")
except requests.Timeout:
raise Exception(f"Request timed out while fetching temperature for {location}")
except requests.RequestException as e:
raise Exception(f"Network error while fetching temperature: {str(e)}")
except KeyError as e:
raise Exception(f"Error parsing weather data: Missing {str(e)} in API response")
except Exception as e:
raise Exception(f"Unexpected error while fetching temperature: {str(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'
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,
)
# 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_temperature, get_current_time_in_timezone],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |