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 moshaere(arg1: 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
    """A tool that continues the poetry by adding another verse to it. the verse should start with the ending alphabet of user verse
    Args:
        arg1: the user verse
        
    """
    try:
        last_char = arg1[-1].lower()  # Get the last character (lowercase for consistency)
        search_term = f"Persian poetry verse starting with {last_char}"  # Create a search query
        search_tool = DuckDuckGoSearchTool()  # Initialize the search tool

        search_results = search_tool.run(search_term)  # Perform the search
        # search_results = search_tool.use({"query": search_term}) #Old usage for smolagents, keep in case its needed.

        # Check if the search results are not empty
        if search_results:
            # Try to extract a relevant verse from the search results.
            # This part needs careful handling to avoid hallucination.
            # One approach is to look for text snippets containing " بیت " (verse) or other relevant keywords.
            #Another way is just pick a random line from the results.

            #Simple way of extracting verse (risky):
            # verse = search_results.split('\n')[0] #get first line
            try:
                verse_list = search_results.split("\n")
                verse = None
                for line in verse_list:
                    if len(line)>2 and (line[0].isalpha()):
                       verse = line
                       break
                if verse is None:
                   return "Could not find an appropriate verse."


                #Refine verse a little bit more:
                refined_verse = verse
                if ":" in refined_verse:
                    refined_verse = refined_verse.split(":")[1]
                if "-" in refined_verse:
                    refined_verse = refined_verse.split("-")[1]

                # Ensure the extracted verse starts with the correct letter:
                if refined_verse[0].lower() == last_char:
                    return refined_verse
                else:
                  return f"Could not find an appropriate verse directly from the search result starting with '{last_char}'. Please verify manually if there is a fitting one. \n Raw result: {search_results}"

            except Exception as e:
                return f"Error while extracting verse: {e} \n Raw Results: {search_results}"


        else:
            return "Could not find any relevant verses."  # Handle empty search results

    except Exception as e:
        return f"An error occurred: {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], ## 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()