app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, LiteLLMModel, TransformersModel
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 find_similar_songs(query: str)-> str:
    """Given a song title or artist name, search the web for "songs like [query]" or "if you like [query]" and return the top 5 links with titles and snippets
    Args:
        query: the song or artist that the user would like to find songs or artists similar to
    """
    search_terms = f"songs like {query} or if you like {query}."
    results = ddg(search_terms)  

    if not results:
        return f"No results found for '{query}'."

    md = f"### Similar songs to **{query}**\n\n"
    for item in results[:5]:
        # DuckDuckGoSearchTool typically gives fields like 'title', 'href', 'body'
        title   = item.get("title") or item.get("heading", "Untitled")
        link    = item.get("href") or item.get("link", "")
        snippet = item.get("body") or item.get("snippet", "")
        md += f"- **[{title}]({link})**\n"
        if snippet:
            md += f"  > {snippet.strip()}\n"
        md += "\n"

    return md.strip()

@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()
ddg = DuckDuckGoSearchTool()

# 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,
# )

# model = LiteLLMModel(
#     model_id="ollama_chat/qwen2.5:7b",        # Ollama model identifier
#     api_base="http://127.0.0.1:11434",        # default Ollama HTTP port
#     num_ctx=8192,                            
#     temperature=0.5                           
# )

model = TransformersModel(
    model_id="TheBloke/vicuna-7B-1.1-HF",  # or any other Hugging Face repo
    device="cuda",                        # or "cpu"
    max_new_tokens=1024,                  # how many tokens to generate
    temperature=0.5                       # same as before
    # quantize="4bit"                     # optional if supported
)

# 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=[get_current_time_in_timezone, ddg], ## 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()