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from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# --- 1. Islamic Info Tool ---
@tool
def get_islamic_prayer_times(city: str, country: str) -> str:
"""Fetches the Islamic prayer times for a specific city and country.
Args:
city: The name of the city (e.g., 'London').
country: The name of the country (e.g., 'UK').
"""
try:
# Using the Aladhan API to get timings
url = f"http://api.aladhan.com/v1/timingsByCity?city={city}&country={country}&method=2"
response = requests.get(url)
data = response.json()
if data['code'] == 200:
timings = data['data']['timings']
date = data['data']['date']['readable']
return (f"Prayer times for {city}, {country} on {date}:\n"
f"Fajr: {timings['Fajr']}, Dhuhr: {timings['Dhuhr']}, "
f"Asr: {timings['Asr']}, Maghrib: {timings['Maghrib']}, Isha: {timings['Isha']}")
else:
return f"Could not find prayer times for {city}. Please check the spelling."
except Exception as e:
return f"Error fetching prayer times: {str(e)}"
# --- 2. Timezone 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)}"
# --- 3. Placeholder Tool (Customizable) ---
@tool
def my_custom_tool(arg1:str, arg2:int)-> str:
"""A tool that currently returns a greeting.
Args:
arg1: A name or string.
arg2: An integer.
"""
return f"Hello {arg1}, your magic number is {arg2}!"
# --- 4. Setup Model & Tools ---
final_answer = FinalAnswerTool()
# Load the image generation tool from the Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
model = InferenceClientModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
custom_role_conversions=None,
)
# Load system prompt
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
# --- 5. Initialize Agent ---
agent = CodeAgent(
model=model,
tools=[
final_answer,
get_current_time_in_timezone,
get_islamic_prayer_times,
image_generation_tool,
my_custom_tool
],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name="SmartAssistant",
description="An agent that can tell time, provide prayer schedules, and generate art.",
prompt_templates=prompt_templates
)
# --- 6. Launch UI ---
if __name__ == "__main__":
GradioUI(agent).launch() |