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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_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)}"
@tool
def get_weather_forecast(city_name: str) -> str:
"""A tool that fetches the current weather/temperature of a specified city.
Args:
city_name: A string representing a valid city (e.g., 'Bangalore').
"""
latitude, longitude = get_coordinates_no_api_key(city_name)
base_url = "https://api.open-meteo.com/v1/forecast" # No API key needed for this version
params = {
"latitude": latitude,
"longitude": longitude,
"hourly": "temperature_2m,precipitation,wind_speed",
"daily": "temperature_2m_max,temperature_2m_min,precipitation_sum",
"forecast_days": 7,
"timezone": "auto"
}
try:
response = requests.get(base_url, params=params) # No headers needed
response.raise_for_status()
weatherJSON = response.json()
cityName = weatherJSON.get('location').get('name')
cityTemp = weatherJSON.get('hourly').get('temperature_2m')
averageTemp = round(mean(cityTemp), 1)
hourlyunits = weatherJSON.get('hourly_units').get('temperature_2m')
return weather_data
return f"The current Temperature in {cityName} is {averageTemp}{hourlyunits} and conditions are {cityCondition}"
except requests.exceptions.RequestException as e:
print(f"Error fetching weather data: {e}")
return None
except json.JSONDecodeError as e:
print(f"Error decoding JSON response: {e}")
return None
def get_coordinates_no_api_key(city_name: str) -> [float, float]:
"""Gets coordinates using OpenStreetMap's Nominatim (no API key, but with limitations)."""
# This approach is less reliable and might have rate limits.
# It's suitable for basic use cases but not for production.
geocoding_url = "https://nominatim.openstreetmap.org/search" # No API Key needed
params = {
"q": city_name,
"format": "json",
"limit": 1
}
try:
response = requests.get(geocoding_url, params=params)
response.raise_for_status()
geocoding_data = response.json()
if geocoding_data: # Check if any results were found
latitude = float(geocoding_data[0]["lat"])
longitude = float(geocoding_data[0]["lon"])
return latitude, longitude
else:
print(f"Could not find coordinates for {city_name}")
return None, None
except requests.exceptions.RequestException as e:
print(f"Error during geocoding: {e}")
return None, None
except (KeyError, IndexError, ValueError) as e: # Handle more potential errors
print(f"Error parsing geocoding response: {e}")
return None, None
# def get_weather(city: str) -> str:
# """A tool that fetches the current weather of a specified city.
# Args:
# city: A string representing a valid city (e.g., 'Bangalore').
# """
# try:
# response = requests.get('https://api.open-meteo.com/v1/forecast?latitude=52.52&longitude=13.41&hourly=temperature_2m&models=bom_access_global')
# weatherJSON = response.json()
# cityName = weatherJSON.get('location').get('name')
# cityTemp = weatherJSON.get('current').get('temp_c')
# cityCondition = weatherJSON.get('current').get('condition').get('text')
# return f"The current Temperature in {cityName} is {cityTemp} and conditions are {cityCondition}"
# except Exception as e:
# return f"Error fetching weather conditions for {city}"
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], ## 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() |