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Update app.py
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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
@tool
def my_custom_tool(arg1: str) -> str:
"""
A tool that uses the provided argument as a search query and returns the search results
along with the current UTC time, all formatted in YAML.
Args:
arg1: The search query string.
"""
# Initialize the DuckDuckGo search tool and perform the search using arg1.
search_tool = DuckDuckGoSearchTool()
# Assuming the search tool has a method 'search' that returns a list of results.
search_results = search_tool.search(arg1)
# Get the current time in UTC with timezone information.
now_utc = datetime.datetime.now(pytz.utc)
formatted_time = now_utc.strftime("%Y-%m-%d %H:%M:%S %Z")
# Build a response dictionary with the search query, current time, and search results.
response = {
"search_query": arg1,
"current_time": formatted_time,
"search_results": search_results
}
# Convert the response dictionary to a YAML-formatted string.
yaml_response = yaml.dump(response, default_flow_style=False)
# Optionally, pass the result to a final answer tool or UI component if desired.
# For instance, FinalAnswerTool could be used to format the final output.
# final_answer = FinalAnswerTool(yaml_response)
# return final_answer
return yaml_response
@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='SmallDoge/Doge-160M-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, get_current_time_in_timezone], ## 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()