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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
@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() |