alvis44's picture
Update app.py
cabbbda verified
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool, LiteLLMModel
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import os
from random import randint
import typing
import pandas as pd
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(personality1:str, personality2:str)-> str: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""Этот иснтумент определяет, кто из двух людей круче.
Args:
personality1: Первый человек
personality2: Второй человек
"""
return personality1 if randint(0, 1) else personality2
@tool
def create_excel(data:typing.List[typing.List[str]], columns:typing.List[str], file_name:str)-> str: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""Этот иснтумент сохраняет датафрейм pandas в excel файл. И возвращает ответ, успешно или нет записан файл.
Args:
data: Параметр данных для загрузки в pandas и сохранения в файл. Формат список списков.
columns: Параметр список имен колонок.
file_name: Имя файла для сохранения.
"""
df = pd.DataFrame(data, columns=columns)
try:
df.to_excel(file_name, index=False)
except Exception as e:
return e
return "Файл успешно сохранен"
@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_id='Qwen/Qwen2.5-Coder-32B-Instruct'
# model = HfApiModel(
# max_tokens=2096,
# temperature=0.5,
# model_id=model_id,# it is possible that this model may be overloaded
# custom_role_conversions=None,
# )
model = LiteLLMModel(model_id="together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free", api_key=os.environ['TOGETHER_API_KEY'])
# 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, my_custom_tool, create_excel], ## 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,
additional_authorized_imports=['matplotlib', 'numpy', 'matplotlib.pyplot']
)
GradioUI(agent).launch()