app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import pandas as pd
import fitz  # PyMuPDF for PDF parsing
from io import StringIO, BytesIO
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
    """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:
        tz = pytz.timezone(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 cash_flow_forecast(doc_bytes: bytes, file_type: str) -> str:
    """Forecasts monthly cash flow from a financial document.
    Args:
        doc_bytes: File bytes (PDF, CSV, or Excel).
        file_type: One of 'pdf', 'csv', 'xlsx'.
    """
    try:
        if file_type == 'pdf':
            doc = fitz.open(stream=doc_bytes, filetype='pdf')
            text = " ".join([page.get_text() for page in doc])
            return f"PDF processed. Extracted text: {text[:300]}..."
        elif file_type == 'csv':
            df = pd.read_csv(BytesIO(doc_bytes))
        elif file_type in ['xls', 'xlsx']:
            df = pd.read_excel(BytesIO(doc_bytes))
        else:
            return "Unsupported file format."
        df.columns = df.columns.str.lower()
        if 'amount' not in df.columns:
            df['amount'] = df.iloc[:, -1]  # Assume last column is amount if not named
        if 'date' not in df.columns:
            df['date'] = pd.date_range(start='2023-01-01', periods=len(df))
        df['date'] = pd.to_datetime(df['date'], errors='coerce')
        monthly = df.resample('M', on='date').sum(numeric_only=True)
        trend = monthly['amount'].rolling(window=3).mean().iloc[-1]
        return f"Predicted average cash flow for next month: ${trend:.2f}"
    except Exception as e:
        return f"Error analyzing file: {str(e)}"

@tool
def report_generator(doc_bytes: bytes, file_type: str) -> str:
    """Creates a business report from financial data.
    Args:
        doc_bytes: File bytes (PDF, CSV, or Excel).
        file_type: File format type.
    """
    try:
        if file_type == 'pdf':
            doc = fitz.open(stream=doc_bytes, filetype='pdf')
            return "\n".join([page.get_text() for page in doc][:2])
        elif file_type == 'csv':
            df = pd.read_csv(BytesIO(doc_bytes))
        elif file_type in ['xls', 'xlsx']:
            df = pd.read_excel(BytesIO(doc_bytes))
        else:
            return "Unsupported file format."
        summary = df.describe(include='all').to_string()
        return f"Business Report:\n{summary}"
    except Exception as e:
        return f"Failed to generate report: {str(e)}"

final_answer = FinalAnswerTool()

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

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,
        my_custom_tool,
        cash_flow_forecast,
        report_generator,
        image_generation_tool
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()