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import os, sys, json
os.system("pip install gradio==3.19.1")
import openai
import gradio as gr
from loguru import logger
import paddlehub as hub
import random, re
from encoder import get_encoder
openai.api_key = os.getenv("OPENAI_API_KEY")
from utils import get_tmt_client, getTextTrans_tmt
tmt_client = get_tmt_client()
def getTextTrans(text, source='zh', target='en'):
def is_chinese(string):
for ch in string:
if u'\u4e00' <= ch <= u'\u9fff':
return True
return False
if not is_chinese(text) and target == 'en':
return text
try:
text_translation = getTextTrans_tmt(tmt_client, text, source, target)
return text_translation
except Exception as e:
return text
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);
}
element.dispatchEvent(new Event('input', { bubbles: true }));
}
function get_clear_innerHTML(innerHTML) {
innerHTML = innerHTML.replace(/<p>|<\\/p>|\\n/g, '');
regexp = /\\β
β(.*?)\\ββ
/;
match = innerHTML.match(regexp);
if (match) {
innerHTML = match[1];
}
return innerHTML;
}
function save_conversation(chatbot) {
var conversations = new Array();
var conversations_clear = new Array();
for (var i = 0; i < chatbot.children.length; i++) {
testid_icon = 'β:'; //'user'
if (chatbot.children[i].dataset['testid'] == 'bot') {
testid_icon = 'β:'; //'bot'
}
innerHTML = chatbot.children[i].innerHTML;
conversations.push(testid_icon + innerHTML);
if (innerHTML.indexOf("<img") == -1 && innerHTML.indexOf("null_") == -1) {
conversations_clear.push(testid_icon + get_clear_innerHTML(innerHTML));
}
}
var json_str = JSON.stringify(conversations);
setNativeValue(window['chat_his'], JSON.stringify(conversations_clear));
localStorage.setItem('chatgpt_conversations', json_str);
}
function img_click(img) {
this_width = parseInt(img.style.width) + 20;
if (this_width > 100) {
this_width = 20;
}
img.style.width = this_width + "%";
img.style.height = img.offsetWidth + 'px';
}
function load_conversation(chatbot) {
var my_prompt_system_value = localStorage.getItem('my_prompt_system');
if (typeof my_prompt_system_value !== 'undefined') {
setNativeValue(window['my_prompt_system'], my_prompt_system_value);
}
var json_str = localStorage.getItem('chatgpt_conversations');
if (json_str) {
var conversations_clear = new Array();
conversations = JSON.parse(json_str);
for (var i = 0; i < conversations.length; i++) {
innerHTML = conversations[i];
if (innerHTML.indexOf("β:") == -1) {
className = "message user svelte-134zwfa";
bgcolor = "#16a34a";
testid = "user";
testid_icon = 'β:'; //'user'
} else {
className = "message bot svelte-134zwfa";
bgcolor = "#2563eb";
testid = "bot";
testid_icon = 'β:'; //'bot'
}
var new_div = document.createElement("div");
new_div.className = className;
new_div.style.backgroundColor = bgcolor;
new_div.dataset.testid = testid;
if (innerHTML.indexOf("data:image/jpeg") >= 0) {
new_div.style.width = "20%";
new_div.style.padding = "0.2rem";
new_div.onclick = function(e) {
img_click(this);
}
setTimeout(function(){
new_div.style.height = new_div.offsetWidth + 'px';
new_div.children[0].setAttribute('style', 'max-width: none; width:100%');
}, 10);
}
innerHTML = innerHTML.replace("β:", "");
innerHTML = innerHTML.replace("β:", "");
new_div.innerHTML = innerHTML;
if (innerHTML.indexOf("null_") != -1) {
new_div.style.display = 'none';
}
chatbot.appendChild(new_div);
if (innerHTML.indexOf("<img") == -1 && innerHTML.indexOf("null_") == -1) {
conversations_clear.push(testid_icon + get_clear_innerHTML(innerHTML));
}
}
setNativeValue(window['chat_his'], JSON.stringify(conversations_clear));
setTimeout(function(){
window['chat_bot1'].children[1].scrollTop = window['chat_bot1'].children[1].scrollHeight;
}, 500);
}
}
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_radio_0'] = window['gradioEl'].querySelectorAll('#chat_radio')[0].querySelectorAll('input[name=radio-chat_radio]')[0];
window['chat_radio_1'] = window['gradioEl'].querySelectorAll('#chat_radio')[0].querySelectorAll('input[name=radio-chat_radio]')[1];
window['chat_bot'] = window['gradioEl'].querySelectorAll('#chat_bot')[0];
window['chat_bot1'] = window['gradioEl'].querySelectorAll('#chat_bot1')[0];
window['my_prompt'] = window['gradioEl'].querySelectorAll('#my_prompt')[0].querySelectorAll('textarea')[0];
window['my_prompt_en'] = window['gradioEl'].querySelectorAll('#my_prompt_en')[0].querySelectorAll('textarea')[0];
window['chat_his'] = window['gradioEl'].querySelectorAll('#chat_history')[0].querySelectorAll('textarea')[0];
chat_row = window['gradioEl'].querySelectorAll('#chat_row')[0];
prompt_row = window['gradioEl'].querySelectorAll('#prompt_row')[0];
window['chat_bot1'].children[1].children[0].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[1].style.height = new_height;
window['chat_bot1'].style.height = new_height;
window['chat_bot1'].children[1].style.height = new_height;
window['chat_bot1'].children[0].style.top = (parseInt(window['chat_bot1'].style.height)-window['chat_bot1'].children[0].offsetHeight-2) + 'px';
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');
window['my_prompt_system'] = window['gradioEl'].querySelectorAll('#my_prompt_system')[0].querySelectorAll('textarea')[0];
load_conversation(window['chat_bot1'].children[1].children[0]);
window['chat_bot1'].children[1].scrollTop = window['chat_bot1'].children[1].scrollHeight;
window['gradioEl'].querySelectorAll('#clear-btn')[0].onclick = function(e){
if (confirm('Clear all outputs?')==true) {
for (var i = window['chat_bot'].children[1].children[0].children.length-1; i >= 0; i--) {
window['chat_bot'].children[1].children[0].removeChild(window['chat_bot'].children[1].children[0].children[i]);
}
for (var i = window['chat_bot1'].children[1].children[0].children.length-1; i >= 0; i--) {
window['chat_bot1'].children[1].children[0].removeChild(window['chat_bot1'].children[1].children[0].children[i]);
}
window['div_count'] = 0;
save_conversation(window['chat_bot1'].children[1].children[0]);
}
}
function set_buttons(action) {
window['submit-btn'].disabled = action;
window['clear-btn'].disabled = action;
window['chat_radio_0'].disabled = action;
window['chat_radio_1'].disabled = action;
btn_color = 'color:#000';
if (action) {
btn_color = 'color:#ccc';
}
window['submit-btn'].setAttribute('style', btn_color);
window['clear-btn'].setAttribute('style', btn_color);
window['chat_radio_0'].setAttribute('style', btn_color);
window['chat_radio_1'].setAttribute('style', btn_color);
}
window['prevPrompt'] = '';
window['doCheckPrompt'] = 0;
window['prevImgSrc'] = '';
window['checkChange'] = function checkChange() {
try {
if (window['chat_radio_0'].checked) {
dot_flashing = window['chat_bot'].children[1].children[0].querySelectorAll('.dot-flashing');
if (window['chat_bot'].children[1].children[0].children.length > window['div_count'] && dot_flashing.length == 0) {
new_len = window['chat_bot'].children[1].children[0].children.length - window['div_count'];
for (var i = 0; i < new_len; i++) {
new_div = window['chat_bot'].children[1].children[0].children[window['div_count'] + i].cloneNode(true);
window['chat_bot1'].children[1].children[0].appendChild(new_div);
}
window['div_count'] = window['chat_bot'].children[1].children[0].children.length;
window['chat_bot1'].children[1].scrollTop = window['chat_bot1'].children[1].scrollHeight;
save_conversation(window['chat_bot1'].children[1].children[0]);
}
if (window['chat_bot'].children[0].children.length > 1) {
set_buttons(true);
window['chat_bot1'].children[0].textContent = window['chat_bot'].children[0].children[1].textContent;
} else {
set_buttons(false);
window['chat_bot1'].children[0].textContent = '';
}
} else {
img_index = 0;
draw_prompt_en = window['my_prompt_en'].value;
if (window['doCheckPrompt'] == 0 && window['prevPrompt'] != draw_prompt_en) {
console.log('_____draw_prompt_en___[' + draw_prompt_en + ']_');
window['doCheckPrompt'] = 1;
window['prevPrompt'] = draw_prompt_en;
tabitems = window['gradioEl'].querySelectorAll('.tabitem');
for (var i = 0; i < tabitems.length; i++) {
inputText = tabitems[i].children[0].children[1].children[0].querySelectorAll('input')[0];
setNativeValue(inputText, draw_prompt_en);
}
setTimeout(function() {
window['draw_prompt'] = window['my_prompt'].value;
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 = "message user svelte-134zwfa";
user_div.style.backgroundColor = "#16a34a";
user_div.dataset.testid = 'user';
user_div.innerHTML = "<p>δ½η»: " + window['draw_prompt'] + "</p><img></img>";
window['chat_bot1'].children[1].children[0].appendChild(user_div);
var bot_div = document.createElement("div");
bot_div.className = "message bot svelte-134zwfa";
bot_div.style.backgroundColor = "#2563eb";
bot_div.style.width = "20%";
bot_div.dataset.testid = 'bot';
bot_div.onclick = function(e){
img_click(this);
}
setTimeout(function(){
bot_div.style.height = bot_div.offsetWidth + 'px';
bot_div.children[0].setAttribute('style', 'max-width:none; width:100%');
}, 10);
bot_div.style.padding = "0.2rem";
bot_div.appendChild(imgs[0].cloneNode(true));
window['chat_bot1'].children[1].children[0].appendChild(bot_div);
window['chat_bot1'].children[1].scrollTop = window['chat_bot1'].children[1].scrollHeight;
window['prevImgSrc'] = imgs[0].src;
save_conversation(window['chat_bot1'].children[1].children[0]);
}
}
if (tabitems[img_index].children[0].children[1].children[1].children[0].children.length > 1) {
tips = tabitems[img_index].children[0].children[1].children[1].children[0].textContent;
if (tips.indexOf("Error") == -1) {
set_buttons(true);
} else {
set_buttons(false);
}
window['chat_bot1'].children[0].textContent = 'δ½η»δΈ ' + tips;
} else {
set_buttons(false);
window['chat_bot1'].children[0].textContent = '';
}
}
localStorage.setItem('my_prompt_system', window['my_prompt_system'].value);
} catch(e) {
}
}
window['checkChange_interval'] = window.setInterval("window.checkChange()", 500);
}
return false;
}"""
space_ids = {
"spaces/stabilityai/stable-diffusion":"Stable Diffusion 2.1",
# "spaces/runwayml/stable-diffusion-v1-5":"Stable Diffusion 1.5",
# "spaces/stabilityai/stable-diffusion-1":"Stable Diffusion 1.0",
}
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}")
token_encoder = get_encoder()
total_tokens = 4096
max_output_tokens = 1024
max_input_tokens = total_tokens - max_output_tokens
def set_openai_api_key(api_key):
if api_key and api_key.startswith("sk-") and len(api_key) > 50:
openai.api_key = api_key
def get_response_from_openai(input, prompt_system, chat_history, model_radio, temperature=0.0):
error_1 = 'You exceeded your current quota, please check your plan and billing details.'
def openai_create(input_list, prompt_system, model_radio):
try:
input_list_len = len(input_list)
out_prompt = ''
messages = []
prompt_system_token = prompt_system
if model_radio in ['GPT-3.0']:
out_prompt += 'AI:'
if prompt_system != '':
prompt_system_token = f'Human:{prompt_system}'
for i in range(input_list_len):
input = input_list[input_list_len-i-1].replace("<br>", '\n\n')
if input.startswith("Openai said:"):
input = "β:"
if input.startswith("β:"):
if model_radio in ['GPT-3.0']:
out_prompt = input.replace("β:", "AI:") + '\n' + out_prompt
else:
out_prompt = input.replace("β:", "") + out_prompt
messages.insert(0, {"role": "assistant", "content": input.replace("β:", "")})
elif input.startswith("β:"):
if model_radio in ['GPT-3.0']:
out_prompt = input.replace("β:", "Human:") + '\n' + out_prompt
else:
out_prompt = input.replace("β:", "") + out_prompt
messages.insert(0, {"role": "user", "content": input.replace("β:", "")})
tokens = token_encoder.encode(out_prompt + prompt_system_token)
if model_radio in ['GPT-4.0']:
if len(tokens) > max_input_tokens + total_tokens:
break
else:
if len(tokens) > max_input_tokens:
break
if prompt_system != '':
if model_radio in ['GPT-3.0']:
out_prompt = prompt_system_token + out_prompt
else:
out_prompt += prompt_system
messages.insert(0, {"role": "system", "content": prompt_system})
if model_radio in ['GPT-3.0']:
print(f'response_3.0_out_prompt__:{out_prompt}')
response = openai.Completion.create(
model="text-davinci-003",
prompt=out_prompt,
temperature=temperature,
max_tokens=max_output_tokens,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=[" Human:", " AI:"]
)
print(f'response_3.0_response__:{response}')
ret = response.choices[0].text
else:
print(f'response_{model_radio}_messages__:{messages}')
if model_radio in ['GPT-3.5']:
model_name = "gpt-3.5-turbo"
else:
model_name = "gpt-4"
response = openai.ChatCompletion.create(
model=model_name,
messages=messages,
temperature=temperature,
max_tokens=max_output_tokens,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=[" Human:", " AI:"]
)
print(f'response_{model_radio}_response__:{response}')
ret = response.choices[0].message['content']
if ret.startswith("\n\n"):
ret = ret.replace("\n\n", '')
ret = ret.replace('\n', '<br>')
ret = re.sub(r"```(.*?)```", r"<pre style='background-color: #ddd;margin-left:20px;padding-left:10px;'>\1</pre>", ret)
ret = re.sub(r"<pre style='background-color: #ddd;margin-left:20px;padding-left:10px;'>(.*?)</pre>", lambda m: "<pre style='background-color: #ddd; color:#000; margin-left:20px;padding-left:10px;'>" + m.group(1).replace('<br>', '\n') + '</pre>', ret)
# logger.info(f'ret_2_={ret}')
if ret == '':
ret = f"Openai said: I'm too tired."
return ret, response.usage
except Exception as e:
logger.info(f"openai_create_error__{e}")
ret = f"Openai said: {e} Perhaps enter your OpenAI API key."
return ret, {"completion_tokens": -1, "prompt_tokens": -1, "total_tokens": -1}
# logger.info(f'chat_history = {chat_history}')
chat_history_list = []
chat_history = chat_history.replace("<p>", "").replace("</p>", "")
if chat_history != '':
chat_history_list = json.loads(chat_history)
chat_history_list.append(f'β:{input}')
output, response_usage = openai_create(chat_history_list, prompt_system, model_radio)
logger.info(f'response_usage={response_usage}')
return output
def chat(input0, input1, prompt_system, chat_radio, model_radio, all_chat_history, chat_history):
all_chat = []
if all_chat_history != '':
all_chat = json.loads(all_chat_history)
if len(input0) == 0:
return all_chat, json.dumps(all_chat), input0, input1
if chat_radio == "Talk to chatGPT":
response = get_response_from_openai(input0, prompt_system, chat_history, model_radio)
all_chat.append((input0, response))
return all_chat, json.dumps(all_chat), '', input1
else:
prompt_en = getTextTrans(input0, source='zh', target='en') + f',{random.randint(0,sys.maxsize)}'
return all_chat, json.dumps(all_chat), input0, prompt_en
def chat_radio_change(chat_radio):
if chat_radio == "Talk to chatGPT":
return gr.Radio.update(visible=True), gr.Text.update(visible=True), gr.Textbox.update(visible=True)
else:
return gr.Radio.update(visible=False), gr.Text.update(visible=False), gr.Textbox.update(visible=False)
with gr.Blocks(title='Talk to chatGPT') as demo:
with gr.Row(elem_id="page_0", visible=False) as page_0:
gr.HTML("<p>You can duplicating this space and use your own session token: <a style='display:inline-block' href='https://huggingface.co/spaces/yizhangliu/chatGPT?duplicate=true'><img src='https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14' alt='Duplicate Space'></a></p>")
with gr.Group(elem_id="page_1", visible=True) as page_1:
with gr.Box():
with gr.Row():
start_button = gr.Button("Let's talk to chatGPT!", elem_id="start-btn", visible=True)
start_button.click(fn=None, inputs=[], outputs=[], _js=start_work)
with gr.Row(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="system_prompt_row"):
prompt_system = gr.Textbox(lines=2, label="system prompt:", elem_id="my_prompt_system", visible=True, show_label=True)
with gr.Row(elem_id="prompt_row"):
prompt_input0 = gr.Textbox(lines=2, label="input", elem_id="my_prompt", show_label=True)
prompt_input1 = gr.Textbox(lines=4, label="prompt", elem_id="my_prompt_en", visible=False)
chat_history = gr.Textbox(lines=4, label="chat_history", elem_id="chat_history", visible=False)
all_chat_history = gr.Textbox(lines=4, label="contexts:", elem_id="all_chat_history", visible=False)
chat_radio = gr.Radio(["Talk to chatGPT", "Text to Image"], elem_id="chat_radio",value="Talk to chatGPT", show_label=False, visible=True)
model_radio = gr.Radio(["GPT-3.0", "GPT-3.5", "GPT-4.0"], elem_id="model_radio", value="GPT-3.5",
label='GPT model: ', show_label=True,interactive=True, visible=True)
openai_api_key_textbox = gr.Textbox(placeholder="Paste your OpenAI API key (sk-...) and hit Enter",
show_label=False, lines=1, type='password')
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
)
with gr.Row(elem_id='tab_img', visible=False).style(height=5):
tab_img = gr.TabbedInterface(tab_actions, tab_titles)
submit_btn.click(fn=chat,
inputs=[prompt_input0, prompt_input1, prompt_system, chat_radio, model_radio, all_chat_history, chat_history],
outputs=[chatbot, all_chat_history, prompt_input0, prompt_input1],
)
openai_api_key_textbox.change(set_openai_api_key,
inputs=[openai_api_key_textbox],
outputs=[])
openai_api_key_textbox.submit(set_openai_api_key,
inputs=[openai_api_key_textbox],
outputs=[])
chat_radio.change(fn=chat_radio_change,
inputs=[chat_radio],
outputs=[model_radio, openai_api_key_textbox, prompt_system],
)
demo.launch(server_name='0.0.0.0', debug = True)
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