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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 urllib.parse import quote
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
from Gradio_UI import GradioUI
model_name = "persiannlp/mt5-small-parsinlu-opus-translation_fa_en"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
def translate_persian_to_english(text: str) -> str:
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
outputs = model.generate(**inputs)
translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
return translated_text
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def persian_to_english_slug(persian_text: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
"""Converts Persian text into an English URL slug using Hugging Face translations.
Args:
persian_text: A persian headline.
Returns:
A URL-Friendly English slug.
"""
try:
translated_text = translate_persian_to_english(persian_text)
slug = translated_text.lower().replace(" ", "-")
slug = quote(slug, safe="-")
return slug
except Exception as e:
return f"Error generating slug: {str(e)}"
@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, persian_to_english_slug], ## 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() |