app.py

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

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> 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
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@tool
def brief_text_in_n_sentences(text:str, n:int)-> 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
    """A tool that succintly briefs a given text in 'n' number of sentences 
    Args:
        text: the text to be resumed into the given number of sentences
        n: the number of sentences to use to brief the text
    """

    if not text.strip():
        return "No text provided to summarize."
    
    # prompt = (
    #     f"Please summarize the following text in exactly {n} sentence{'s' if n > 1 else ''}. Each sentence is a bullet point. The text is:\n\n{text}\n\n"
    #     "Summary:"
    # )
    prompt = [
  {'role': 'user', 'content': [{'type': 'text', 'text': f'Please summarize the following text in exactly {n} sentence{"s" if n > 1 else ""}. Each sentence is a bullet point. The text is:\n\n{text}\n\n'}]}
]

    try:
        # response = model(prompt)
        # return response
        response = model(prompt)
        # If model returns a dictionary or list, handle accordingly
        if isinstance(response, dict) and "generated_text" in response:
            return response["generated_text"]
        elif isinstance(response, list) and "generated_text" in response[0]:
            return response[0]["generated_text"]
        elif isinstance(response, str):
            return response  # Already a string, nothing to do
        else:
            return f"Unexpected response format: {response}"
    except Exception as e:
        return f"LLM summarization failed: {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, brief_text_in_n_sentences, 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()