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Runtime error
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from pyChatGPT import ChatGPT
import gradio as gr
import os
from loguru import logger
import random
session_token = os.environ.get('SessionToken')
logger.info(f"session_token_: {session_token}")
def get_response_from_chatbot(text):
try:
api = ChatGPT(session_token)
resp = api.send_message(text)
api.refresh_auth()
api.reset_conversation()
response = resp['message']
logger.info(f"response_: {response}")
except:
response = "Sorry, I'm am tired."
return response
def chat(message, history):
history = history or []
response = get_response_from_chatbot(message)
history.append((message, response))
return history, history
start_work = """async() => {
function isMobile() {
try {
document.createEvent("TouchEvent"); return true;
} catch(e) {
return false;
}
}
function getClientHeight()
{
var clientHeight=0;
if(document.body.clientHeight&&document.documentElement.clientHeight) {
var clientHeight = (document.body.clientHeight<document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight;
} else {
var clientHeight = (document.body.clientHeight>document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight;
}
return clientHeight;
}
function setNativeValue(element, value) {
const valueSetter = Object.getOwnPropertyDescriptor(element.__proto__, 'value').set;
const prototype = Object.getPrototypeOf(element);
const prototypeValueSetter = Object.getOwnPropertyDescriptor(prototype, 'value').set;
if (valueSetter && valueSetter !== prototypeValueSetter) {
prototypeValueSetter.call(element, value);
} else {
valueSetter.call(element, value);
}
}
var gradioEl = document.querySelector('body > gradio-app').shadowRoot;
if (!gradioEl) {
gradioEl = document.querySelector('body > gradio-app');
}
if (typeof window['gradioEl'] === 'undefined') {
window['gradioEl'] = gradioEl;
tabitems = window['gradioEl'].querySelectorAll('.tabitem');
for (var i = 0; i < tabitems.length; i++) {
tabitems[i].childNodes[0].children[0].style.display='none';
tabitems[i].childNodes[0].children[1].children[0].style.display='none';
tabitems[i].childNodes[0].children[1].children[1].children[0].children[1].style.display="none";
}
tab_demo = window['gradioEl'].querySelectorAll('#tab_demo')[0];
tab_demo.style.display = "block";
tab_demo.setAttribute('style', 'height: 100%;');
const page1 = window['gradioEl'].querySelectorAll('#page_1')[0];
const page2 = window['gradioEl'].querySelectorAll('#page_2')[0];
page1.style.display = "none";
page2.style.display = "block";
# window['prevPrompt'] = '';
# window['doCheckPrompt'] = 0;
# window['checkPrompt'] = function checkPrompt() {
# try {
# texts = window['gradioEl'].querySelectorAll('textarea');
# text0 = texts[0];
# text1 = texts[1];
# if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text1.value) {
# console.log('_____new prompt___[' + text1.value + ']_');
# window['doCheckPrompt'] = 1;
# window['prevPrompt'] = text1.value;
# for (var i = 2; i < texts.length; i++) {
# setNativeValue(texts[i], text1.value);
# texts[i].dispatchEvent(new Event('input', { bubbles: true }));
# }
# setTimeout(function() {
# btns = window['gradioEl'].querySelectorAll('button');
# for (var i = 0; i < btns.length; i++) {
# if (btns[i].innerText == 'Submit') {
# btns[i].click();
# }
# }
# window['doCheckPrompt'] = 0;
# }, 10);
# }
# } catch(e) {
# }
# }
# window['checkPrompt_interval'] = window.setInterval("window.checkPrompt()", 100);
# }
return false;
}"""
# with gr.Blocks(title='Text to Image') as demo:
# with gr.Group(elem_id="page_1", visible=True) as page_1:
# with gr.Box():
# with gr.Row():
# start_button = gr.Button("Let's GO!", elem_id="start-btn", visible=True)
# start_button.click(fn=None, inputs=[], outputs=[], _js=start_work)
# with gr.Group(elem_id="page_2", visible=False) as page_2:
# chatbot = gr.Chatbot(elem_id="chat_bot").style(color_map=("green", "gray"))
# chat_demo = gr.Interface(
# chat,
# ["text", "state"],
# [chatbot, "state"],
# allow_flagging="never",
# show_label=False,
# )
chatbot = gr.Chatbot().style(color_map=("green", "gray"))
chatbot.change(show_progress=False)
demo = gr.Interface(
chat,
["text", "state"],
[chatbot, "state"],
allow_flagging="never",
show_label=False,
)
demo.launch(debug = True) |