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Update app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
# from smolagents.models import TransformersModel
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
@tool
def get_weather_tool(location: str) -> dict:
"""Tool that fetches the current weather for a given location using DuckDuckGo search.
Args:
location: The name of the city (e.g., 'New York').
Returns:
A dictionary containing temperature (°C) and weather condition.
"""
search = DuckDuckGoSearchTool()
query = f"current weather in {location}"
search_results = search.run(query)
# Try to extract temperature and condition from search results
match = re.search(r"(-?\d+°C).*?\b(?:clear|cloudy|rain|snow|storm|sunny|drizzle|mist)\b", search_results, re.IGNORECASE)
if match:
temp = match.group(1) # Extract temperature
condition = match.group(0).split()[-1] # Extract last weather-related word
return {"temperature": temp, "condition": condition, "location": location}
return {"error": f"Could not extract weather data for {location}. Try again later."}
@tool
def suggest_outfit_tool(weather_data: dict) -> str:
"""Tool that suggests an outfit based on weather fetched from get_weather_from_duckduckgo tool.
Args:
weather_data: A dictionary containing temperature (°C) and weather condition.
Returns:
A clothing suggestion based on the weather.
"""
if "error" in weather_data:
return weather_data["error"]
temp = int(re.search(r"-?\d+", weather_data["temperature"]).group()) # Extract numeric value
condition = weather_data["condition"]
location = weather_data["location"]
# Outfit recommendations based on temperature
if temp > 25:
outfit = "It's hot outside! Wear light clothing, sunglasses, and a hat."
elif 15 <= temp <= 25:
outfit = "Mild weather. A t-shirt and jeans should be fine, but carry a light jacket."
elif 5 <= temp < 15:
outfit = "Chilly weather. Wear a sweater and a jacket."
else:
outfit = "It's cold! Wear a heavy coat, scarf, gloves, and boots."
# Adjust for specific weather conditions
if "rain" in condition:
outfit += " Also, carry an umbrella or wear a raincoat."
elif "snow" in condition:
outfit += " Make sure to wear waterproof boots and layer up!"
return f"Weather in {location}: {condition}, {temp}°C. {outfit}"
# @tool
# def my_custom_tooltom_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)}"
final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
#model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',
model_id="https://jc26mwg228mkj8dw.us-east-1.aws.endpoints.huggingface.cloud/",
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_tool,
suggest_outfit_tool,
DuckDuckGoSearchTool(),
],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch()