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
import requests
from bs4 import BeautifulSoup
from Gradio_UI import GradioUI


# Initialize the Hugging Face web search model
search_model = HfApiModel(
    "Intelligent-Internet/II-Search-4B",
    return_text=True,
    streaming=False  # ensures the output is plain text
)


@tool
def get_top_sightseeing(city: str, count: int) -> str:
    """Searches the web for top sightseeing locations in a given city.
    Args:
        city: Name of the city.
        count: Number of top sightseeing locations to return.
    """
    search_tool = DuckDuckGoSearchTool()
    query = f"top {count} sightseeing locations in {city}"
    
    # Bei CrewAI rufst du das Tool direkt auf oder nutzt .run()
    results = search_tool.run(query)
    
    return f"Top sightseeing locations in {city}:\n{results}"


@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, get_top_sightseeing,DuckDuckGoSearchTool()], ## 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()