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from smolagents import CodeAgent, HfApiModel,load_tool,tool
import datetime
import pytz
import yaml
from src.tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
@tool
def create_dict_for_lookup(
main_condition: str = None,
keywords: list[str] = None,
country: str = None
)-> dict:
"""A tool that returns a dictionary with keys main_condition, keywords, and country with values given as args
Args:
main_condition: The main medical condition to be consodered for look-up (e.g., "breast cancer")
keywords: The list of other relevant terms to be considered for look-up (e.g., ["Her2", "chemotherapy"])
country: The country to be considered for look-up
"""
return {
"main_condition": main_condition or "",
"keywords": keywords or [],
"country": country or ""
}
@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, create_dict_for_lookup], ## 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() |