Update app.py
Browse files
app.py
CHANGED
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
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from Gradio_UI import GradioUI
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from langdetect import detect
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import requests
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from smolagents import tool
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model_name = "facebook/m2m100_418M"
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tokenizer = M2M100Tokenizer.from_pretrained(model_name)
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translation_model = M2M100ForConditionalGeneration.from_pretrained(model_name)
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@tool
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def agent_translate(text: str) -> str:
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"""A tool that translate text with next logic:
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1) If text starts with 'PL:', translate the rest to Polish.
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target_lang = "RU"
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original = text
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try:
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inputs = tokenizer(original, return_tensors="pt")
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forced_bos_token_id = tokenizer.get_lang_id(target_lang)
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generated_tokens = translation_model.generate(
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**inputs,
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translated_text = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
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return translated_text
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except Exception as e:
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return f"Error during translating: {
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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Args:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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# Create timezone object
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tz = pytz.timezone(timezone)
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# Get current time in that timezone
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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# 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:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[agent_translate, final_answer], ## add your tools here (don't remove final answer)
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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def agent_translate(text: str) -> str:
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"""A tool that translate text with next logic:
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1) If text starts with 'PL:', translate the rest to Polish.
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target_lang = "RU"
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original = text
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try:
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model_name = "facebook/m2m100_418M"
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tokenizer = M2M100Tokenizer.from_pretrained(model_name)
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translation_model = M2M100ForConditionalGeneration.from_pretrained(model_name)
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inputs = tokenizer(original, return_tensors="pt")
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forced_bos_token_id = tokenizer.get_lang_id(target_lang.lower())
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generated_tokens = translation_model.generate(
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**inputs,
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translated_text = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
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return translated_text
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except Exception as e:
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return f"Error during translating: { str(e)}"
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