| | 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() |
| |
|
