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| from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, HfApiModel, load_tool, tool | |
| import os | |
| import arxiv | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| from pypdf import PdfReader | |
| def download_paper_by_id(paper_id: str) -> None: | |
| """A tool that gets the ID of a paper and then downloads the pdf from arxiv. It saves the paper locally | |
| in the "pdf" directory as f"pdf/{paper_id}.pdf". | |
| Args: | |
| paper_id: a string representing the id of the paper to download from arxiv. | |
| """ | |
| os.makedirs("pdf", exist_ok=True) | |
| paper = next(arxiv.Client().results(arxiv.Search(id_list=[paper_id]))) | |
| paper.download_pdf(filename=f"pdf/{paper_id}.pdf") | |
| return None | |
| def read_pdf_file(filepath: str) -> str: | |
| """A tool that reads the pdf content of the file located in f"{filepath}". | |
| Args: | |
| filepath: a string representing the filepath of the pdf file to read. | |
| Returns: | |
| A string containing the content of the pdf file. | |
| """ | |
| content = "" | |
| reader = PdfReader(f"{filepath}") | |
| print(len(reader.pages)) | |
| pages = reader.pages[:3] | |
| for page in pages: | |
| content += page.extract_text() | |
| return content | |
| 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 = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded | |
| 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=[final_answer, | |
| DuckDuckGoSearchTool(), | |
| VisitWebpageTool(), | |
| download_paper_by_id, | |
| read_pdf_file, | |
| image_generation_tool], | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() |