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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 PIL import Image
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 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
# @tool
# image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# @tool
# def generate_image_from_text(prompt: str) -> Image:
# """
# A tool that generates an image based on the given text prompt and displays it.
# Args:
# prompt: A string describing the image to be generated.
# """
# try:
# # Load the image generation tool
# image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# # Generate the image and get the URL
# image_url = image_generation_tool(prompt)
# # Fetch the image from the URL
# response = requests.get(image_url)
# image = Image.open(io.BytesIO(response.content))
# # Display the image inline for Jupyter Notebook or applications with inline display support
# display.display(image)
# image.save("generated_image.png")
# print("Image saved as generated_image.png. Open the file to view it.")
# # Return the image object
# return image
# except Exception as e:
# print(f"Error generating image: {str(e)}")
@tool
def generate_image_from_text(prompt: str) -> Image:
"""
A tool that generates an image based on the given text prompt and displays it.
Args:
prompt: A string describing the image to be generated.
Returns:
Image: The generated image that can be displayed by Gradio.
"""
try:
# Load the image generation tool
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# Generate the image and get the URL
image_url = image_generation_tool(prompt)
# Fetch the image from the URL
response = requests.get(image_url)
image = Image.open(io.BytesIO(response.content))
# Optionally save the image to a file
image.save("generated_image.png")
print("Image saved as generated_image.png. Open the file to view it.")
# Return the image object for Gradio to display
return image
except Exception as e:
print(f"Error generating image: {str(e)}")
return None
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,generate_image_from_text], ## 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() |