Spaces:
Sleeping
Sleeping
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool | |
import datetime | |
import os | |
import pytz | |
import yaml | |
import pandas | |
from typing import List | |
from dotenv import load_dotenv | |
from tools.final_answer import FinalAnswerTool | |
from Gradio_UI import GradioUI | |
load_dotenv() | |
HF_TOKEN = os.getenv("HF_U1ACAPP_TOKEN") | |
def format_country_info( | |
population: int, languages: List[str], religions: List[str] | |
) -> str: | |
"""A tool that takes as argument the most recent info about a country and most specifically | |
the population number, the officially languages (accompanied and sorted by their respective percentage) used | |
as well as the common religions (accompanied and sorted by their respective percentage) found in the country. | |
It returns the same info formatted in markdown. | |
For any info field that is not available, its value is considered as N/A | |
Args: | |
population: the country's population number according to most recent info | |
languages: the languages used in the country | |
religions: the religions found in the country | |
""" | |
summary_info = { | |
"Population": population if population > 0 else "N/A", | |
"Languages": "<br>".join( | |
[f"- {lang}" for lang in languages] if len(languages) > 1 else languages | |
) | |
or "N/A", | |
"Religions": "<br>".join( | |
[f"- {rel}" for rel in religions] if len(religions) > 1 else religions | |
) | |
or "N/A", | |
} | |
df = pandas.DataFrame(summary_info, index=[1]) | |
return df.to_markdown(index=False) | |
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() | |
model = HfApiModel( | |
max_tokens=2096, | |
temperature=0.5, | |
model_id="Qwen/Qwen2.5-Coder-32B-Instruct", | |
custom_role_conversions=None, | |
token=HF_TOKEN, | |
) | |
# 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, | |
DuckDuckGoSearchTool(), | |
format_country_info, | |
], ## 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() | |