app.py

import os
import gradio as gr

from langchain_community.utilities.sql_database import SQLDatabase
from langchain_community.agent_toolkits import create_sql_agent

from langchain_openai import ChatOpenAI

ccms_db_loc = 'ccms.db'

ccms_db = SQLDatabase.from_uri(f"sqlite:///{ccms_db_loc}")

gpt4 = ChatOpenAI(
    model_name=model_gpt4,
    api_key=creds["openai_api_key"],
    temperature=0
)

sqlite_agent = create_sql_agent(
    gpt4,
    db=ccms_db,
    agent_type="openai-tools",
    verbose=True
)

def predict(user_input):

    try:
        response = sqlite_agent.invoke(user_input)

        prediction = response['output']

    except Exception as e:
        prediction = e
        
    return prediction


textbox = gr.Textbox(placeholder="Enter your query here", lines=6)

demo = gr.Interface(
    inputs=textbox, fn=predict, outputs="text",
    title="Query Credit Card Database",
    description="This web API presents an interface to ask questions on information stored in a credit card database.",
    article=schema,
    examples=[["Who are the top 5 merchants by total transactions?", ""],
              ["How many customers are in our database?", ""],
              ["How many accounts in total do we have?", ""]
             ],
    concurrency_limit=8
)


demo.queue()
demo.launch(auth=("demouser", os.getenv('PASSWD')))