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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 Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def find_best_receipt_websites(dish: str, agent: CodeAgent) -> str:
"""A tool that selects the best websites to seek for the recipe of a dish.
Args:
dish: The target dish.
agent: The CodeAgent instance that will perform reasoning.
Returns:
A string with the best websites for finding the recipe.
"""
reasoning_prompt = f"""
Seek the top 3 websites that are most likely to have the recipe for {dish}.
Consider cultural habits.
"""
websites = agent.run_tool("final_answer", prompt=reasoning_prompt)
return websites if websites else "No suitable websites found"
@tool
def receipt(dish: str, persons: int, agent: CodeAgent) -> str:
"""A tool that calculates the ingredients for a given dish and fetches its recipe.
Args:
dish: The target dish.
persons: The number of persons.
agent: The CodeAgent instance used for tool execution.
Returns:
A formatted string with the recipe details.
"""
websites = find_best_receipt_websites(dish, agent)
print(f"Found websites: {websites}")
for website in websites.split(","):
reasoning_prompt = f"""
Seek the recipe of {dish} on the website {website.strip()}.
"""
receipt = agent.run_tool("final_answer", prompt=reasoning_prompt)
return f"Recipe is: {receipt} from websites: {websites}"
@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'
#'Vikhrmodels/Vikhr-2-VL-2b-Instruct-experimental',# it is possible that this model may be overloaded
#model_id='t-tech/T-pro-it-1.0'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id=model_id,
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,get_current_time_in_timezone,receipt,image_generation_tool], ## 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() |