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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 ! | |
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 ?" | |
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)}") | |
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() |