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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 get_weather(location: str) -> str:
"""Get current weather information for a specified location.
Args:
location: City name and optionally country code (e.g., 'London' or 'London,UK')
"""
try:
# Replace with your actual API key
API_KEY = "de1f560f2d4bea4e02dcdbe2e6f197a6"
base_url = "http://api.openweathermap.org/data/2.5/weather"
params = {
'q': location,
'appid': API_KEY,
'units': 'metric' # for Celsius, use 'imperial' for Fahrenheit
}
response = requests.get(base_url, params=params)
data = response.json()
if response.status_code == 200:
weather = data['weather'][0]['description']
temp = data['main']['temp']
feels_like = data['main']['feels_like']
humidity = data['main']['humidity']
wind_speed = data['wind']['speed']
return (f"Weather in {location}: {weather}. "
f"Temperature: {temp}°C (feels like {feels_like}°C), "
f"Humidity: {humidity}%, Wind: {wind_speed} m/s")
else:
return f"Error getting weather: {data.get('message', 'Unknown error')}"
except Exception as e:
return f"Error fetching weather data: {str(e)}"
@tool
def get_weather_forecast(location: str, days: int = 3) -> str:
"""Get weather forecast for a specified location for the next few days.
Args:
location: City name and optionally country code (e.g., 'London' or 'London,UK')
days: Number of days for forecast (1-5, default 3)
"""
try:
# Validate days input
days = max(1, min(5, int(days)))
API_KEY = "de1f560f2d4bea4e02dcdbe2e6f197a6"
base_url = "http://api.openweathermap.org/data/2.5/forecast"
params = {
'q': location,
'appid': API_KEY,
'units': 'metric',
'cnt': days * 8 # 8 forecasts per day (every 3 hours)
}
response = requests.get(base_url, params=params)
data = response.json()
if response.status_code == 200:
forecast = []
current_date = ""
for item in data['list']:
date = item['dt_txt'].split()[0]
if date != current_date:
if current_date:
forecast.append(day_forecast)
current_date = date
day_forecast = {
'date': date,
'temps': [],
'weathers': []
}
day_forecast['temps'].append(item['main']['temp'])
day_forecast['weathers'].append(item['weather'][0]['description'])
# Add the last day
if current_date:
forecast.append(day_forecast)
# Format the response
result = [f"Weather forecast for {location}:"]
for day in forecast[:days]: # Limit to requested days
avg_temp = sum(day['temps']) / len(day['temps'])
main_weather = max(set(day['weathers']), key=day['weathers'].count)
result.append(
f"{day['date']}: {main_weather}, average temp {avg_temp:.1f}°C "
f"(min {min(day['temps']):.1f}°C, max {max(day['temps']):.1f}°C)"
)
return "\n".join(result)
else:
return f"Error getting forecast: {data.get('message', 'Unknown error')}"
except Exception as e:
return f"Error fetching weather forecast: {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_current_time_in_timezone, get_weather, get_weather_forecast], ## 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() |