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 json
from Gradio_UI import GradioUI
# Load model directly
# from transformers import AutoProcessor, AutoModel

# processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-Omni-3B")
# model = AutoModel.from_pretrained("Qwen/Qwen2.5-Omni-3B")

duckduckgo_tool=DuckDuckGoSearchTool()
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool


def animewatcher(anime_name: str) -> str:
    """A tool that searches for anime details using DuckDuckGo.
    Args:
        anime_name: The name of the anime to search for.
    Returns:
        A formatted string with anime search results or an error message.
    """
    try:
        search_query = f"{anime_name} anime details"
        results = duckduckgo_tool(search_query)  # Fetch results from DuckDuckGo
        
        # Debugging: Print what we receive
        print(f"Debug: Raw DuckDuckGo results -> {results} (Type: {type(results)})")

        # If results is a string, try parsing it as JSON (if possible)
        if isinstance(results, str):
            try:
                results = json.loads(results)  # Attempt JSON parsing
            except json.JSONDecodeError:
                return f"Error: Unexpected response format. Raw output: {results}"
        
        # Ensure results is a list
        if not isinstance(results, list) or not results:
            return f"No results found for '{anime_name}'. Maybe it's underrated!"

        # Limit results to the first 3 entries
        results = results[:3]

        # Format response
        response = f"🔍 **Anime Search Results for '{anime_name}':**\n\n"
        for i, result in enumerate(results, 1):
            title = result.get('title', 'No title available')
            href = result.get('href', 'No link available')
            response += f"{i}. **{title}**\n🔗 {href}\n\n"

        return response.strip()

    except Exception as e:
        return f"⚠️ Error searching for '{anime_name}': {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= 'deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',# 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_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()