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from smolagents import CodeAgent,DuckDuckGoSearchTool, LiteLLMModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool
from tools.web_search import DuckDuckGoSearchTool
from tools.visit_webpage import VisitWebpageTool
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""A tool that does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@tool
def wikipedia_summary(topic: str) -> str:
"""Fetches a summary for a given topic from Wikipedia.
Args:
topic: The topic to search on Wikipedia.
"""
try:
import wikipedia
# Set language to English
wikipedia.set_lang("en")
# Get summary of the topic
summary = wikipedia.summary(topic, sentences=3)
return f"📚 Wikipedia Summary:\n{summary}"
except wikipedia.exceptions.DisambiguationError as e:
return f"❗ The topic '{topic}' is ambiguous. Options include: {e.options[:5]}"
except wikipedia.exceptions.PageError:
return f"❗ No page found for '{topic}'. Please check the spelling."
except Exception as e:
return f"⚠️ Unexpected error: {str(e)}"
@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()
web_search = DuckDuckGoSearchTool()
visit_webpage = VisitWebpageTool()
# 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 = LiteLLMModel(
model_id="gemini/gemini-1.5-flash-latest",
api_key=os.getenv("GEMINI_KEY"),
max_tokens=4096,
temperature=0.6
)
# 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,
wikipedia_summary,
web_search,
visit_webpage,
], ## 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() |