File size: 2,232 Bytes
817d1d1 9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 9b5b26a 817d1d1 9b5b26a 8c01ffb 6aae614 ae7a494 817d1d1 ae7a494 e121372 817d1d1 13d500a 8c01ffb 9b5b26a 8c01ffb 817d1d1 861422e 817d1d1 8c01ffb 8fe992b 817d1d1 8c01ffb 861422e 8fe992b 9b5b26a 817d1d1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
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 my_custom_tool(arg1: str, arg2: int)-> str: # you must 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
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], # 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()
|