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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 diffusers import StableDiffusionPipeline
import torch
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool # Import tool function
from tools.web_search import DuckDuckGoSearchTool # Import tool function
from Gradio_UI import GradioUI
@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)}"
@tool
def image_generator(prompt: str, model_name: str = "CompVis/stable-diffusion-v1-4"):
"""A tool that Generate an image from a text prompt using a free Hugging Face model.
Args:
prompt (str): Text prompt to generate image.
model_name (str): Model to use from Hugging Face hub (default is Stable Diffusion v1.4).
Returns:
PIL.Image.Image: Generated image.
"""
pipe = StableDiffusionPipeline.from_pretrained(model_name, torch_dtype=torch.float16)
pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
image = pipe(prompt).images[0]
return image
final_answer = FinalAnswerTool()
visit_webpage = VisitWebpageTool()
web_search = DuckDuckGoSearchTool()
# 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, visit_webpage, web_search, get_current_time_in_timezone, image_generator],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |