app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import os
import yaml
import pandas as pd
from typing import Dict, Union, List
import json
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

api_key = os.getenv("ALPHAVANTAGE")

# Define a tool to retrieve the Discounted Cash Flow (DCF) of a company

@tool
def get_dcf_of_company(company_name: str) -> str:
    """A tool that retrieves the DCF of a company based on its name.
    Args:
        company_name: The name of the company.
    """
    try:
        # Step 1: Retrieve the stock ticker symbol
        global api_key
        search_url = f'https://www.alphavantage.co/query?function=SYMBOL_SEARCH&keywords={company_name}&apikey=NR9AFISYRYH2B5U3'
        response = requests.get(search_url)
        data = response.json()
        if 'bestMatches' in data and len(data['bestMatches']) > 0:
            symbol = data['bestMatches'][0]['1. symbol']
        else:
            return f"No stock symbol found for company '{company_name}'."

        # Step 2: Retrieve the company's financial data
        overview_url = f'https://www.alphavantage.co/query?function=OVERVIEW&symbol={symbol}&apikey=NR9AFISYRYH2B5U3'
        response = requests.get(overview_url)
        overview = response.json()
        if not overview:
            return f"No financial data found for company with symbol '{symbol}'."

        # Extract necessary data
        free_cash_flow = float(overview.get('FreeCashFlow', 0))
        wacc = float(overview.get('WeightedAverageCostOfCapital', 0)) / 100
        growth_rate = float(overview.get('GrowthRate', 0)) / 100

        if free_cash_flow == 0 or wacc == 0:
            return f"Insufficient data to calculate DCF for company '{company_name}'."

        # Step 3: Calculate DCF
        dcf_value = 0
        years = 5  # Number of years for forecasting
        for year in range(1, years + 1):
            future_cash_flow = free_cash_flow * ((1 + growth_rate) ** year)
            discounted_cash_flow = future_cash_flow / ((1 + wacc) ** year)
            dcf_value += discounted_cash_flow

        return f"The Discounted Cash Flow (DCF) for company '{company_name}' is: ${dcf_value:,.2f}"

    except Exception as e:
        return f"Error calculating DCF for company '{company_name}': {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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# 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_dcf_of_company], ## 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()