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Fix typo for file reading
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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
@tool
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
@tool
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
@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 = 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()