| import os | |
| import gradio as gr | |
| import sqlite3 | |
| from dotenv import load_dotenv | |
| import openai | |
| from utils import generate_double_entry, save_transaction | |
| load_dotenv() | |
| openai.api_key = os.getenv(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) | |
| openai.api_base = "https://api.groq.com/openai/v1" | |
| def call_groq(prompt): | |
| response = openai.ChatCompletion.create( | |
| model="mixtral-8x7b-instruct", | |
| messages=[{"role": "user", "content": prompt}] | |
| ) | |
| return response['choices'][0]['message']['content'] | |
| def accounting_chatbot(user_input): | |
| llm_output = call_groq(user_input) | |
| debit, credit, amount = generate_double_entry(llm_output) | |
| save_transaction(debit, credit, amount, user_input) | |
| output = f"**Double Entry**\n- Debit: {debit}\n- Credit: {credit}\n- Amount: {amount}\n\n🧠 {llm_output}" | |
| return output | |
| demo = gr.ChatInterface(fn=accounting_chatbot, title="AI Accounting Assistant") | |
| demo.launch() | |