app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from datetime import datetime
import re
from tools.final_answer import FinalAnswerTool
import os 

from Gradio_UI import GradioUI

HF_TOKEN = os.environ['HF_TOKEN']

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> 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 does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@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)}"

def sentiment_analysis(text: str) -> str:
    """Basic economic sentiment analysis based on keywords"""
    positive_keywords = ["growth", "profit", "increase", "investment", "record revenue", "expansion", "gain"]
    negative_keywords = ["loss", "decline", "layoff", "decrease", "cut", "lawsuit", "scandal", "drop"]

    text_lower = text.lower()
    pos_hits = sum(1 for kw in positive_keywords if kw in text_lower)
    neg_hits = sum(1 for kw in negative_keywords if kw in text_lower)

    if pos_hits > neg_hits:
        return "positive"
    elif neg_hits > pos_hits:
        return "negative"
    else:
        return "neutral"

def news_date_is_today(text: str) -> bool:
    """Check if the news mention today's date (very naive)"""
    today = datetime.now().strftime("%B %d, %Y")  # e.g., "April 30, 2025"
    return today.lower() in text.lower()

@tool
def company_news_sentiment(company_name: str, top_k: int) -> str:
    """A tool that searches for the latest company news and assesses daily relevance and sentiment.
    
    Args:
        company_name: the name of the company to search news for.
        top_k: the number of top search results to analyze.
    
    Returns:
        A string summarizing if there are daily news and whether the sentiment is positive or negative.
    """
    search_tool = DuckDuckGoSearchTool()
    results = search_tool.run(f"{company_name} latest news")

    if not results:
        return f"No news found for {company_name}."

    selected_results = results[:top_k]
    combined_text = " ".join(res["body"] for res in selected_results if "body" in res)

    has_today_news = any(news_date_is_today(res.get("body", "")) for res in selected_results)
    sentiment = sentiment_analysis(combined_text)

    daily_news_str = "There is news today" if has_today_news else "There is no news specifically from today"
    return f"{daily_news_str} about {company_name}. Overall sentiment appears {sentiment} from an economic perspective."


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' 
# original model : model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded

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,
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=[image_generation_tool,company_news_sentiment,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()