app.py.old

#!/usr/bin/python
#https://beebom.com/how-train-ai-chatbot-custom-knowledge-base-chatgpt-/
from llama_index import SimpleDirectoryReader, GPTListIndex, GPTVectorStoreIndex, LLMPredictor, PromptHelper
import gradio as gr
import sys
import os
import datasets
import random

def chat(message, history):
    history = history or []
    if message.startswith("How many"):
        response = random.randint(1, 10)
    elif message.startswith("How"):
        response = random.choice(["Great", "Good", "Okay", "Bad"])
    elif message.startswith("Where"):
        response = random.choice(["Here", "There", "Somewhere"])
    else:
        response = "I don't know"
    history.append((message, response))
    return history, history
    
iface = gr.Interface(fn=chat,
                     inputs=gr.components.Textbox(lines=7, label="Enter your text"),
                     outputs="text",
                     title="JVM Lending's Chatbot")

iface.launch(auth=("JVM","LENDING"))