app.py

from smolagents import CodeAgent, HfApiModel, DuckDuckGoSearchTool, VisitWebpageTool, load_tool, tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

# Dictionary mapping user-friendly tenors to their FRED IDs.
yield_curve_mappings = {
    '1 month': 'DGS1MO',
    '3 month': 'DGS3MO',
    '6 month': 'DGS6MO',
    '1 year': 'DGS1',
    '2 year': 'DGS2',
    '3 year': 'DGS3',
    '5 year': 'DGS5',
    '7 year': 'DGS7',
    '10 year': 'DGS10',
    '20 year': 'DGS20',
    '30 year': 'DGS30',
    'sofr': 'SOFR'}

# reverse for english description
yc_rev = {}
for k,v in yield_curve_mappings.items():
    yc_rev[v] = k

@tool
def convert_to_fred_id(request: str) -> str:
    """A tool that converts a natural language yield request into a FRED ID.
    Args:
        request: A string representing a yield in natural language (e.g., '10 year yield').
    Returns:
        A string of the corresponding 'fred_id' or 'Not Found' if no match is found.
    """
    request = request.lower()
    for phrase, fred_id in yield_curve_mappings.items():
        if phrase in request:
            return fred_id
    return "No matching FRED ID found for the given request."

@tool
def pull_rates(fred_id: str) -> str:
    """A tool that fetches the latest interest or treasury rate from FRED.
    Args:
        fred_id: A string representing a valid FRED ID to pull from the FRED website.
    Returns:
        A float of the yield (rate) value.
    """
    fred_api_url = f"https://fred.stlouisfed.org/graph/fredgraph.csv?id={fred_id}"
    try:
        import pandas as pd
        df = pd.read_csv(fred_api_url)
        latest_rate = df.loc[df['observation_date']==df['observation_date'].max(), fred_id].values[0]
        # Find the matching phrase for the FRED ID to return a human-readable name
        for phrase, id in yield_curve_mappings.items():
            if id == fred_id:
                return latest_rate
    except Exception as e:
        return f"Error fetching rates from FRED for {fred_id}."

@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()
search_result = DuckDuckGoSearchTool()
visit_webpage = VisitWebpageTool()

# 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,
)


# 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, convert_to_fred_id, pull_rates], ## add your tools here (don't remove final answer)
    max_steps=10,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()