app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz 
import yaml
import os
from dotenv import load_dotenv
from tools.final_answer import FinalAnswerTool
from pytrends.request import TrendReq

from Gradio_UI import GradioUI

load_dotenv()

HF_TOKEN = os.getenv("HF_U1APP_TOKEN")

@tool
def get_trending_searches(region:str="united states") -> list:
    """
    A tool to fetch the current top trending searches from Google Trends.
    Args:
        region: Country code (e.g., 'united states')
    """
    try:
        pytrends = TrendReq()
        trending = pytrends.trending_searches(pn=region)
        return trending[0].tolist()
    except Exception as e:
        return f"Error fetching trends:{str(e)}"


@tool
def add_numbers(a:int, b:int)-> int: 
    """A tool that adds two integers. 
    Args:
        a: the first integer
        b: the second integer
        """
    return a+b

@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)}"

@tool
def duckduckgo_search(query: str) -> str:
    """Searches DuckDuckGo for a given query and returns the top result.
    Args:
        query: The search query string.
    Returns:
        A short summary with the top DuckDuckGo result.
    """
    search_tool = DuckDuckGoSearchTool()
    results = search_tool.run(query)
    
    if results:
        return f"Top search result: {results[0]['title']} - {results[0]['link']}"
    else:
        return "No results found."

@tool
def get_sentiment(text: str) -> str:
    """Analyze the sentiment of the given text (Positive/Negative/Neutral)
    
    Args:
        text: The input text to analyze. (e.g., 'I am so happy today!')
    
    Returns:
        A string indicating the sentiment (Positive, Negative, or Neutral).
    """
    text_lower = text.lower()
    if any(word in text_lower for word in ["good", "great", "awesome", "fantastic", "love", "happy"]):
        return "Sentiment: Positive"
    elif any(word in text_lower for word in ["bad", "terrible", "awful", "hate", "angry", "sad"]):
        return "Sentiment: Negative"
    else:
        return "Sentiment: Neutral"

final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
custom_role_conversions=None,
token=HF_TOKEN
)


# 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_trending_searches, image_generation_tool, add_numbers, duckduckgo_search, get_current_time_in_timezone,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()