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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 transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
from Gradio_UI import GradioUI
from langdetect import detect
import requests
from smolagents import tool
model_name = "facebook/m2m100_418M"
tokenizer = M2M100Tokenizer.from_pretrained(model_name)
translation_model = M2M100ForConditionalGeneration.from_pretrained(model_name)
@tool
def agent_translate(text: str, detected_lang: str) -> str:
"""A tool that translate text with next logic:
1) If text starts with 'pl:', translate the rest to Polish.
2) If detected language == 'ru', translate to English.
3) Else translate to Russian.
and return translated text
Args:
text: text in russian/english or polish languages.
detected_lang: detected language of the text
"""
if text.startswith("pl:"):
original = text[3:].strip()
target_lang = "PL"
else:
if detected_lang.lower() == "ru":
target_lang = "EN"
original = text
else:
target_lang = "RU"
original = text
try:
inputs = tokenizer(original, return_tensors="pt")
forced_bos_token_id = tokenizer.get_lang_id(target_lang.lower())
generated_tokens = translation_model.generate(
**inputs,
forced_bos_token_id=forced_bos_token_id
)
translated_text = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
return translated_text
except Exception as e:
return f"Error during translating: { 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=[agent_translate, final_answer], ## add your tools here (don't remove final answer)
max_steps=3,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |