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eb48d5b 9b5b26a b877f99 9b5b26a ce4bdc2 eb48d5b b877f99 64284d2 a0c9876 9b5b26a a0c9876 64284d2 a0c9876 64284d2 a0c9876 64284d2 b877f99 64284d2 9b5b26a b877f99 9b5b26a b877f99 64284d2 6aae614 ae7a494 b877f99 e121372 b877f99 13d500a 8c01ffb b877f99 9b5b26a 8c01ffb 861422e b877f99 8c01ffb 8fe992b 5dd0629 8c01ffb 64284d2 861422e 8fe992b b877f99 | 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 71 72 73 74 75 76 77 78 79 80 | 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 generate_social_caption(brand_voice: str, content: str, platform: str) -> str:
"""Gera uma legenda personalizada para redes sociais.
Args:
brand_voice: O tom de voz da marca (ex: 'educativo, acolhedor').
content: O conteúdo principal (ex: 'lançamento de curso de IA').
platform: A plataforma de destino (ex: 'Instagram', 'LinkedIn').
"""
return (
f"Crie uma legenda para {platform} com o seguinte conteúdo: '{content}'. "
f"Use um tom de voz {brand_voice}. "
f"Inclua uma chamada para ação e hashtags relevantes. "
f"A legenda deve ser envolvente e adequada ao público da plataforma."
)
@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,
generate_social_caption,
get_current_time_in_timezone,
image_generation_tool,
],
## 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() |