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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
# Define a new tool: Weather Information Fetcher
import os
import requests
from smolagents import tool
@tool
def get_weather(city: str) -> str:
"""
Fetches the current weather information for a given city.
Args:
city: The name of the city (e.g., 'New York').
Returns:
str: A formatted weather report including temperature, humidity, and conditions.
"""
try:
# 🔒 Get API key from environment variable (NEVER hardcode it)
api_key = "39ed1534532b15efbf0fb9dfffc55298" #os.getenv("OPENWEATHERMAP_API_KEY")
if not api_key:
return "Error: API key is missing. Please set OPENWEATHERMAP_API_KEY as an environment variable."
# 🌍 Build the API request URL
url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric"
# 📡 Fetch data from OpenWeather API
response = requests.get(url)
# ❌ Handle HTTP request failure
if response.status_code != 200:
return f"Error: Unable to fetch weather data. HTTP Status: {response.status_code}"
# 📜 Parse JSON response
data = response.json()
# ❌ Handle API-level error (e.g., city not found)
if data.get("cod") != 200:
return f"Error fetching weather: {data.get('message', 'Unknown error')}"
# 🌡️ Extract weather details
weather_desc = data["weather"][0]["description"].capitalize()
temp = data["main"]["temp"]
pressure = data["main"]["pressure"]
humidity = data["main"]["humidity"]
wind_speed = data["wind"]["speed"]
# 📝 Format the response
return (
f"🌍 **Weather in {city}**:\n"
f"- 🌤 **Condition:** {weather_desc}\n"
f"- 🌡 **Temperature:** {temp}°C\n"
f"- 💨 **Wind Speed:** {wind_speed} m/s\n"
f"- 💧 **Humidity:** {humidity}%\n"
f"- 🏋 **Pressure:** {pressure} hPa"
)
except Exception as e:
return f"⚠️ Error fetching weather for '{city}': {str(e)}"
# Define a custom tool
@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
"""A tool that does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build?"
# Define a timezone-aware clock tool
@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:
tz = pytz.timezone(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)}"
# Define web search tool
@tool
def web_search(query: str) -> str:
"""A tool that searches the web using DuckDuckGo.
Args:
query: The search query.
"""
return DuckDuckGoSearchTool().forward(query) # ✅ Correct: Calls `.forward(query)`
# Load final answer tool
final_answer = FinalAnswerTool()
# Hugging Face model setup
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',
custom_role_conversions=None,
)
# Import tool from Hugging Face Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# Load prompt templates
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
# Initialize the agent with multiple tools
agent = CodeAgent(
model=model,
tools=[
final_answer,
web_search, # Enables web search via DuckDuckGo
image_generation_tool, # Enables text-to-image generation
get_weather, # Enables weather fetching
get_current_time_in_timezone, # Enables timezone-based time retrieval
],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name="Enhanced CodeAgent",
description="An AI agent with web search, image generation, weather, and timezone utilities.",
prompt_templates=prompt_templates
)
# Launch Gradio UI
GradioUI(agent).launch() |