from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from urllib.parse import quote import json from typing import List, Dict, Any from Gradio_UI import GradioUI @tool def get_books_for_subject(subject:str, published_in:str) -> List[Dict[str, Any]]: """A tool that fetches books for a given keyword. Args: subject: A string representing the subject (e.g. 'love', 'cars', 'Girls Aloud') published_in: A date range for the publication of the book (e.g. "1500-1600", "1980-1989", "") """ r = requests.get("https://openlibrary.org/subjects/%s.json?published_in=%s" % (quote(subject), quote(published_in))) results = r.json() books = [] for work in results["works"]: book = {} book["title"] = work["title"] book["year"] = work["first_publish_year"] authors = [] for author in work["authors"]: authors.append(author["name"]) book["authors"] = authors book["link"] = "https://openlibrary.org" + work["key"] books.append(book) return books @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() # 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_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='https://pflgm2locj2t89co.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=[image_generation_tool, get_books_for_subject, get_current_time_in_timezone, 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()