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| 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 | |
| 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 | |
| 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() |