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import os
import gradio as gr
import sqlite3
from dotenv import load_dotenv
from groq import Groq
from utils import generate_double_entry, save_transaction
load_dotenv()
client = Groq(api_key=os.environ["GROQ_API_KEY"])
def call_groq(prompt):
response = client.chat.completions.create(
messages=[{"role": "user", "content": prompt}],
model="mixtral-8x7b-instruct",
stream=False,
)
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}"
# Optional: return audio path from Promot integration here
return output
demo = gr.ChatInterface(fn=accounting_chatbot, title="AI Accounting Assistant")
demo.launch()
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