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import openai | |
import gradio as gr | |
import os, sys, json | |
from loguru import logger | |
import random | |
openai.api_key = os.environ.get('SessionToken') | |
logger.info(f"session_token_: {openai.api_key}") | |
conversation = "" | |
user_name = "MH" | |
bot_name = "bbDemo" | |
def get_response_from_chatgpt(text): | |
#try: | |
response_api = openai.Completion.create(engine='text-davinci-003', prompt=str(text), max_tokens=50) | |
response_str = response_api["choices"][0]["text"].replace("\n", "") | |
response_str = response_str.split(user_name + ": ", 1)[0].split(bot_name + ": ", 1)[0] | |
print("RESPONSE response_api", response_api) | |
print("RESPONSE response_str ", response_str) | |
response = response_str | |
logger.info(f"Response: [{response_api}]") | |
logger.info(f"conversation_id_: [{response}]") | |
return response | |
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); | |
} | |
} | |
function save_conversation(chatbot) { | |
var conversations = new Array(); | |
for (var i = 0; i < chatbot.children.length; i++) { | |
conversations[i] = chatbot.children[i].innerHTML; | |
} | |
var json_str = JSON.stringify(conversations); | |
localStorage.setItem('chatgpt_conversations', json_str); | |
} | |
function load_conversation(chatbot) { | |
var json_str = localStorage.getItem('chatgpt_conversations'); | |
if (json_str) { | |
conversations = JSON.parse(json_str); | |
for (var i = 0; i < conversations.length; i++) { | |
var new_div = document.createElement("div"); | |
if((i%2)===0){ | |
new_div.className = "px-3 py-2 rounded-[22px] rounded-br-none text-white text-sm chat-message svelte-rct66g"; | |
new_div.style.backgroundColor = "#16a34a"; | |
} else { | |
new_div.className = "px-3 py-2 rounded-[22px] rounded-bl-none place-self-start text-white text-sm chat-message svelte-rct66g"; | |
new_div.style.backgroundColor = "#2563eb"; | |
if (conversations[i].indexOf("<img ") == 0) { | |
new_div.style.width = "80%"; | |
new_div.style.padding = "0.2rem"; | |
} | |
} | |
new_div.innerHTML = conversations[i]; | |
chatbot.appendChild(new_div); | |
} | |
} | |
} | |
var gradioEl = document.querySelector('body > gradio-app').shadowRoot; | |
if (!gradioEl) { | |
gradioEl = document.querySelector('body > gradio-app'); | |
} | |
if (typeof window['gradioEl'] === 'undefined') { | |
window['gradioEl'] = gradioEl; | |
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['div_count'] = 0; | |
window['chat_bot'] = window['gradioEl'].querySelectorAll('#chat_bot')[0]; | |
window['chat_bot1'] = window['gradioEl'].querySelectorAll('#chat_bot1')[0]; | |
chat_row = window['gradioEl'].querySelectorAll('#chat_row')[0]; | |
prompt_row = window['gradioEl'].querySelectorAll('#prompt_row')[0]; | |
window['chat_bot1'].children[1].textContent = ''; | |
clientHeight = getClientHeight(); | |
if (isMobile()) { | |
output_htmls = window['gradioEl'].querySelectorAll('.output-html'); | |
for (var i = 0; i < output_htmls.length; i++) { | |
output_htmls[i].style.display = "none"; | |
} | |
new_height = (clientHeight - 250) + 'px'; | |
} else { | |
new_height = (clientHeight - 350) + 'px'; | |
} | |
chat_row.style.height = new_height; | |
window['chat_bot'].style.height = new_height; | |
window['chat_bot'].children[2].style.height = new_height; | |
window['chat_bot1'].style.height = new_height; | |
window['chat_bot1'].children[2].style.height = new_height; | |
prompt_row.children[0].style.flex = 'auto'; | |
prompt_row.children[0].style.width = '100%'; | |
window['gradioEl'].querySelectorAll('#chat_radio')[0].style.flex = 'auto'; | |
window['gradioEl'].querySelectorAll('#chat_radio')[0].style.width = '100%'; | |
prompt_row.children[0].setAttribute('style','flex-direction: inherit; flex: 1 1 auto; width: 100%;border-color: green;border-width: 1px !important;') | |
window['chat_bot1'].children[1].setAttribute('style', 'border-bottom-right-radius:0;top:unset;bottom:0;padding-left:0.1rem'); | |
window['gradioEl'].querySelectorAll('#btns_row')[0].children[0].setAttribute('style', 'min-width: min(10px, 100%); flex-grow: 1'); | |
window['gradioEl'].querySelectorAll('#btns_row')[0].children[1].setAttribute('style', 'min-width: min(10px, 100%); flex-grow: 1'); | |
load_conversation(window['chat_bot1'].children[2].children[0]); | |
window['chat_bot1'].children[2].scrollTop = window['chat_bot1'].children[2].scrollHeight; | |
window['gradioEl'].querySelectorAll('#clear-btn')[0].onclick = function(e){ | |
if (confirm('Clear all outputs?')==true) { | |
window['chat_bot1'].children[2].children[0].innerHTML = ''; | |
save_conversation(window['chat_bot1'].children[2].children[0]); | |
} | |
} | |
window['prevPrompt'] = ''; | |
window['doCheckPrompt'] = 0; | |
window['prevImgSrc'] = ''; | |
window['checkChange'] = function checkChange() { | |
try { | |
if (window['gradioEl'].querySelectorAll('.gr-radio')[0].checked) { | |
if (window['chat_bot'].children[2].children[0].children.length > window['div_count']) { | |
new_len = window['chat_bot'].children[2].children[0].children.length - window['div_count']; | |
for (var i = 0; i < new_len; i++) { | |
new_div = window['chat_bot'].children[2].children[0].children[window['div_count'] + i].cloneNode(true); | |
window['chat_bot1'].children[2].children[0].appendChild(new_div); | |
} | |
window['div_count'] = chat_bot.children[2].children[0].children.length; | |
window['chat_bot1'].children[2].scrollTop = window['chat_bot1'].children[2].scrollHeight; | |
save_conversation(window['chat_bot1'].children[2].children[0]); | |
} | |
if (window['chat_bot'].children[0].children.length > 1) { | |
window['chat_bot1'].children[1].textContent = window['chat_bot'].children[0].children[1].textContent; | |
} else { | |
window['chat_bot1'].children[1].textContent = ''; | |
} | |
} else { | |
texts = window['gradioEl'].querySelectorAll('textarea'); | |
text0 = texts[0]; | |
text1 = texts[1]; | |
img_index = 0; | |
text_value = text1.value; | |
if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text_value) { | |
console.log('_____new prompt___[' + text_value + ']_'); | |
window['doCheckPrompt'] = 1; | |
window['prevPrompt'] = text_value; | |
tabitems = window['gradioEl'].querySelectorAll('.tabitem'); | |
for (var i = 0; i < tabitems.length; i++) { | |
inputText = tabitems[i].children[0].children[1].children[0].querySelectorAll('.gr-text-input')[0]; | |
setNativeValue(inputText, text_value); | |
inputText.dispatchEvent(new Event('input', { bubbles: true })); | |
} | |
setTimeout(function() { | |
btns = window['gradioEl'].querySelectorAll('button'); | |
for (var i = 0; i < btns.length; i++) { | |
if (['Generate image','Run'].includes(btns[i].innerText)) { | |
btns[i].click(); | |
} | |
} | |
window['doCheckPrompt'] = 0; | |
}, 10); | |
} | |
tabitems = window['gradioEl'].querySelectorAll('.tabitem'); | |
imgs = tabitems[img_index].children[0].children[1].children[1].querySelectorAll("img"); | |
if (imgs.length > 0) { | |
if (window['prevImgSrc'] !== imgs[0].src) { | |
var user_div = document.createElement("div"); | |
user_div.className = "px-3 py-2 rounded-[22px] rounded-br-none text-white text-sm chat-message svelte-rct66g"; | |
user_div.style.backgroundColor = "#16a34a"; | |
user_div.innerHTML = "<p>" + text0.value + "</p>"; | |
window['chat_bot1'].children[2].children[0].appendChild(user_div); | |
var bot_div = document.createElement("div"); | |
bot_div.className = "px-3 py-2 rounded-[22px] rounded-bl-none place-self-start text-white text-sm chat-message svelte-rct66g"; | |
bot_div.style.backgroundColor = "#2563eb"; | |
bot_div.style.width = "80%"; | |
bot_div.style.padding = "0.2rem"; | |
bot_div.appendChild(imgs[0].cloneNode(true)); | |
window['chat_bot1'].children[2].children[0].appendChild(bot_div); | |
window['chat_bot1'].children[2].scrollTop = window['chat_bot1'].children[2].scrollHeight; | |
window['prevImgSrc'] = imgs[0].src; | |
save_conversation(window['chat_bot1'].children[2].children[0]); | |
} | |
} | |
if (tabitems[img_index].children[0].children[1].children[1].children[0].children.length > 1) { | |
window['chat_bot1'].children[1].textContent = tabitems[img_index].children[0].children[1].children[1].children[0].textContent; | |
} else { | |
window['chat_bot1'].children[1].textContent = ''; | |
} | |
} | |
} catch(e) { | |
} | |
} | |
window['checkChange_interval'] = window.setInterval("window.checkChange()", 500); | |
} | |
return false; | |
}""" | |
space_ids = { | |
"spaces/stabilityai/stable-diffusion":"Stable Diffusion 2.1", | |
} | |
tab_actions = [] | |
tab_titles = [] | |
for space_id in space_ids.keys(): | |
print(space_id, space_ids[space_id]) | |
try: | |
tab = gr.Interface.load(space_id) | |
tab_actions.append(tab) | |
tab_titles.append(space_ids[space_id]) | |
except Exception as e: | |
logger.info(f"load_fail__{space_id}_{e}") | |
def chat(input0, input1, chat_radio, chat_history): | |
out_chat = [] | |
if chat_history != '': | |
out_chat = json.loads(chat_history) | |
#if chat_radio == "Talk to chatGPT": | |
response = get_response_from_chatgpt(input0) | |
out_chat.append((input0, response)) | |
chat_history = json.dumps(out_chat) | |
logger.info(f"out_chat_input0 and input1 {input0} -- {input1}") | |
logger.info(f"chat history {chat_history}") | |
return out_chat, input1, chat_history | |
article = """ | |
<div class="footer"> | |
<p><a href="https://chat.openai.com/chat" target="_blank">chatGPT</a> | |
by <a href="https://openai.com/" style="text-decoration: underline;" target="_blank">OpenAI</a> - | |
Gradio Demo by 🤗 <a href="https://englishphonetics.net/about-us.html" target="_blank">Eriberto Oliveira</a> | |
</p> | |
</div> | |
""" | |
with gr.Blocks(title='Talk to chatGPT') as demo: | |
gr.HTML("<p> This is a demo of the GPT-3 model applied in the chatbot context. </p>") | |
gr.HTML("<p> Ask questions and be surprised by the answers</p>") | |
with gr.Group(elem_id="page_1", visible=True) as page_1: | |
with gr.Box(): | |
with gr.Row(): | |
start_button = gr.Button("Click here to chat!", 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: | |
with gr.Row(elem_id="chat_row"): | |
chatbot = gr.Chatbot(elem_id="chat_bot", visible=False).style(color_map=("green", "blue")) | |
chatbot1 = gr.Chatbot(elem_id="chat_bot1").style(color_map=("green", "blue")) | |
with gr.Row(elem_id="prompt_row"): | |
prompt_input0 = gr.Textbox(lines=2, label="prompt",show_label=False) | |
prompt_input1 = gr.Textbox(lines=4, label="prompt", visible=False) | |
chat_history = gr.Textbox(lines=4, label="prompt", visible=False) | |
chat_radio = gr.Radio(["Talk to chatGPT", "Text to Image"], elem_id="chat_radio",value="Talk to chatGPT", show_label=False) | |
with gr.Row(elem_id="btns_row"): | |
with gr.Column(id="submit_col"): | |
submit_btn = gr.Button(value = "submit",elem_id="submit-btn").style( | |
margin=True, | |
rounded=(True, True, True, True), | |
width=100 | |
) | |
with gr.Column(id="clear_col"): | |
clear_btn = gr.Button(value = "clear outputs", elem_id="clear-btn").style( | |
margin=True, | |
rounded=(True, True, True, True), | |
width=100 | |
) | |
submit_btn.click(fn=chat, | |
inputs=[prompt_input0, prompt_input1, chat_radio, chat_history], | |
outputs=[chatbot, prompt_input1, chat_history], | |
) | |
with gr.Row(elem_id='tab_img', visible=False).style(height=5): | |
tab_img = gr.TabbedInterface(tab_actions, tab_titles) | |
gr.HTML(article) | |
demo.launch(debug = True) | |