app.py

import gradio as gr
import pandas as pd
from groq import Groq
import os

# Load Groq API Key from HuggingFace Secrets
GROQ_API_KEY = os.getenv("Clip")

client = Groq(api_key=GROQ_API_KEY)

def analyze_expenses(file):
    if file is None:
        return "Please upload a CSV file."

    df = pd.read_csv(file.name)

    expense_text = ""
    for index, row in df.iterrows():
        expense_text += f"Date: {row['Date']}, Description: {row['Description']}, Amount: {row['Amount']}\n"

    prompt = f"""
    You are a financial AI assistant.
    
    Analyze the following expenses.
    
    1. Categorize each expense.
    2. Calculate total spending.
    3. Give category-wise summary.
    4. Give smart budgeting advice.
    
    Expenses:
    {expense_text}
    """

    try:
        response = client.chat.completions.create(
            model="llama-3.1-8b-instant",
            messages=[
                {"role": "user", "content": prompt}
            ],
            temperature=0.5
        )

        result = response.choices[0].message.content
        return result

    except Exception as e:
        return f"Error: {str(e)}"


with gr.Blocks() as app:
    gr.Markdown("# 🤖 AI Expense Analyzer (Powered by Groq)")
    gr.Markdown("Upload your CSV file and get AI-powered financial insights.")

    file_input = gr.File(label="Upload CSV File")
    output = gr.Textbox(label="AI Analysis Result", lines=20)

    analyze_button = gr.Button("Analyze Expenses")
    analyze_button.click(analyze_expenses, inputs=file_input, outputs=output)

app.launch()