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()