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from pyChatGPT import ChatGPT |
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import gradio as gr |
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import os, sys, json |
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from loguru import logger |
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import paddlehub as hub |
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import random |
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language_translation_model = hub.Module(directory=f'./baidu_translate') |
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def getTextTrans(text, source='zh', target='en'): |
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try: |
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text_translation = language_translation_model.translate(text, source, target) |
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return text_translation |
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except Exception as e: |
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return text |
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session_token = os.environ.get('SessionToken') |
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def get_response_from_chatbot(text): |
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try: |
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api = ChatGPT(session_token) |
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resp = api.send_message(text) |
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api.refresh_auth() |
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api.reset_conversation() |
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response = resp['message'] |
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except: |
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response = "Sorry, I'm busy. Try again later." |
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return response |
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model_ids = { |
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"models/prompthero/openjourney":"openjourney", |
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} |
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tab_actions = [] |
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tab_titles = [] |
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for model_id in model_ids.keys(): |
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print(model_id, model_ids[model_id]) |
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try: |
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tab = gr.Interface.load(model_id) |
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tab_actions.append(tab) |
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tab_titles.append(model_ids[model_id]) |
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except: |
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logger.info(f"load_fail__{model_id}_") |
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def chat(input0, input1, chat_radio, chat_history): |
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out_chat = [] |
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if chat_history != '': |
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out_chat = json.loads(chat_history) |
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logger.info(f"out_chat_: {len(out_chat)} / {chat_radio}") |
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if chat_radio == "Talk to chatGPT": |
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response = get_response_from_chatbot(input0) |
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out_chat.append((input0, response)) |
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chat_history = json.dumps(out_chat) |
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return out_chat, input1, chat_history |
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else: |
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prompt_en = getTextTrans(input0, source='zh', target='en') + f',{random.randint(0,sys.maxsize)}' |
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return out_chat, prompt_en, chat_history |
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start_work = """async() => { |
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function isMobile() { |
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try { |
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document.createEvent("TouchEvent"); return true; |
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} catch(e) { |
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return false; |
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} |
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} |
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function getClientHeight() |
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{ |
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var clientHeight=0; |
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if(document.body.clientHeight&&document.documentElement.clientHeight) { |
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var clientHeight = (document.body.clientHeight<document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight; |
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} else { |
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var clientHeight = (document.body.clientHeight>document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight; |
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} |
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return clientHeight; |
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} |
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function setNativeValue(element, value) { |
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const valueSetter = Object.getOwnPropertyDescriptor(element.__proto__, 'value').set; |
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const prototype = Object.getPrototypeOf(element); |
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const prototypeValueSetter = Object.getOwnPropertyDescriptor(prototype, 'value').set; |
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if (valueSetter && valueSetter !== prototypeValueSetter) { |
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prototypeValueSetter.call(element, value); |
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} else { |
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valueSetter.call(element, value); |
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} |
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} |
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var gradioEl = document.querySelector('body > gradio-app').shadowRoot; |
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if (!gradioEl) { |
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gradioEl = document.querySelector('body > gradio-app'); |
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} |
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if (typeof window['gradioEl'] === 'undefined') { |
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window['gradioEl'] = gradioEl; |
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const page1 = window['gradioEl'].querySelectorAll('#page_1')[0]; |
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const page2 = window['gradioEl'].querySelectorAll('#page_2')[0]; |
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page1.style.display = "none"; |
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page2.style.display = "block"; |
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window['div_count'] = 0; |
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window['chat_bot'] = window['gradioEl'].querySelectorAll('#chat_bot')[0]; |
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window['chat_bot1'] = window['gradioEl'].querySelectorAll('#chat_bot1')[0]; |
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chat_row = window['gradioEl'].querySelectorAll('#chat_row')[0]; |
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prompt_row = window['gradioEl'].querySelectorAll('#prompt_row')[0]; |
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window['chat_bot1'].children[1].textContent = ''; |
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clientHeight = getClientHeight(); |
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if (isMobile()) { |
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output_htmls = window['gradioEl'].querySelectorAll('.output-html'); |
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for (var i = 0; i < output_htmls.length; i++) { |
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output_htmls[i].style.display = "none"; |
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} |
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new_height = (clientHeight - 250) + 'px'; |
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} else { |
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new_height = (clientHeight - 350) + 'px'; |
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} |
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chat_row.style.height = new_height; |
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window['chat_bot'].style.height = new_height; |
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window['chat_bot'].children[2].style.height = new_height; |
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window['chat_bot1'].style.height = new_height; |
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window['chat_bot1'].children[2].style.height = new_height; |
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prompt_row.children[0].style.flex = 'auto'; |
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prompt_row.children[0].style.width = '100%'; |
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window['gradioEl'].querySelectorAll('#chat_radio')[0].style.flex = 'auto'; |
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window['gradioEl'].querySelectorAll('#chat_radio')[0].style.width = '100%'; |
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prompt_row.children[0].setAttribute('style','flex-direction: inherit; flex: 1 1 auto; width: 100%;border-color: green;border-width: 1px !important;') |
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window['chat_bot1'].children[1].setAttribute('style', 'border-bottom-right-radius:0;top:unset;bottom:0;padding-left:0.1rem;'); |
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window['prevPrompt'] = ''; |
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window['doCheckPrompt'] = 0; |
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window['prevImgSrc'] = ''; |
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window['checkChange'] = function checkChange() { |
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try { |
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if (window['gradioEl'].querySelectorAll('.gr-radio')[0].checked) { |
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if (window['chat_bot'].children[2].children[0].children.length > window['div_count']) { |
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new_len = window['chat_bot'].children[2].children[0].children.length - window['div_count']; |
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for (var i = 0; i < new_len; i++) { |
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new_div = window['chat_bot'].children[2].children[0].children[window['div_count'] + i].cloneNode(true); |
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window['chat_bot1'].children[2].children[0].appendChild(new_div); |
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} |
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window['div_count'] = chat_bot.children[2].children[0].children.length; |
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window['chat_bot1'].children[2].scrollTop = window['chat_bot1'].children[2].scrollHeight; |
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} |
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if (window['chat_bot'].children[0].children.length > 1) { |
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window['chat_bot1'].children[1].textContent = window['chat_bot'].children[0].children[1].textContent; |
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} else { |
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window['chat_bot1'].children[1].textContent = ''; |
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} |
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} else { |
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texts = window['gradioEl'].querySelectorAll('textarea'); |
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text0 = texts[0]; |
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text1 = texts[1]; |
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img_index = 0; |
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if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text1.value) { |
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console.log('_____new prompt___[' + text1.value + ']_'); |
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window['doCheckPrompt'] = 1; |
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window['prevPrompt'] = text1.value; |
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for (var i = 3; i < texts.length; i++) { |
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setNativeValue(texts[i], text1.value); |
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texts[i].dispatchEvent(new Event('input', { bubbles: true })); |
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} |
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setTimeout(function() { |
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img_submit_btns = window['gradioEl'].querySelectorAll('#tab_img')[0].querySelectorAll("button"); |
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for (var i = 0; i < img_submit_btns.length; i++) { |
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if (img_submit_btns[i].innerText == 'Submit') { |
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img_submit_btns[i].click(); |
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} |
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} |
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window['doCheckPrompt'] = 0; |
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}, 10); |
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} |
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tabitems = window['gradioEl'].querySelectorAll('.tabitem'); |
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imgs = tabitems[img_index].children[0].children[1].children[1].children[0].querySelectorAll("img"); |
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if (imgs.length > 0) { |
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if (window['prevImgSrc'] !== imgs[0].src) { |
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var user_div = document.createElement("div"); |
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user_div.className = "px-3 py-2 rounded-[22px] rounded-br-none text-white text-sm chat-message svelte-rct66g"; |
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user_div.style.backgroundColor = "#16a34a"; |
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user_div.innerHTML = "<p>" + text0.value + "</p>"; |
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window['chat_bot1'].children[2].children[0].appendChild(user_div); |
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var bot_div = document.createElement("div"); |
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bot_div.className = "px-3 py-2 rounded-[22px] rounded-bl-none place-self-start text-white text-sm chat-message svelte-rct66g"; |
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bot_div.style.backgroundColor = "#2563eb"; |
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bot_div.style.width = "80%"; |
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bot_div.style.padding = "0.2rem"; |
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bot_div.appendChild(imgs[0].cloneNode(true)); |
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window['chat_bot1'].children[2].children[0].appendChild(bot_div); |
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window['chat_bot1'].children[2].scrollTop = window['chat_bot1'].children[2].scrollHeight; |
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window['prevImgSrc'] = imgs[0].src; |
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} |
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} |
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if (tabitems[img_index].children[0].children[1].children[1].children[0].children[0].children.length > 1) { |
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window['chat_bot1'].children[1].textContent = tabitems[img_index].children[0].children[1].children[1].children[0].children[0].children[1].textContent; |
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} else { |
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window['chat_bot1'].children[1].textContent = ''; |
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} |
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} |
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} catch(e) { |
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} |
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} |
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window['checkChange_interval'] = window.setInterval("window.checkChange()", 500); |
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} |
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return false; |
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}""" |
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with gr.Blocks(title='Talk to chatGPT') as demo: |
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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>") |
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gr.HTML("<p> Instruction on how to get session token can be seen in video <a style='display:inline-block' href='https://www.youtube.com/watch?v=TdNSj_qgdFk'><font style='color:blue;weight:bold;'>here</font></a>. Add your session token by going to settings and add under secrets. </p>") |
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with gr.Group(elem_id="page_1", visible=True) as page_1: |
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with gr.Box(): |
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with gr.Row(): |
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start_button = gr.Button("Let's talk to chatGPT!", elem_id="start-btn", visible=True) |
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start_button.click(fn=None, inputs=[], outputs=[], _js=start_work) |
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with gr.Group(elem_id="page_2", visible=False) as page_2: |
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with gr.Row(elem_id="chat_row"): |
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chatbot = gr.Chatbot(elem_id="chat_bot", visible=False).style(color_map=("green", "blue")) |
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chatbot1 = gr.Chatbot(elem_id="chat_bot1").style(color_map=("green", "blue")) |
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with gr.Row(elem_id="prompt_row"): |
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prompt_input0 = gr.Textbox(lines=2, label="prompt",show_label=False) |
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prompt_input1 = gr.Textbox(lines=4, label="prompt", visible=False) |
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chat_history = gr.Textbox(lines=4, label="prompt", visible=False) |
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chat_radio = gr.Radio(["Talk to chatGPT", "Text to Image"], elem_id="chat_radio",value="Talk to chatGPT", show_label=False) |
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submit_btn = gr.Button(value = "submit",elem_id="submit-btn").style( |
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margin=True, |
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rounded=(True, True, True, True), |
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width=100 |
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) |
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submit_btn.click(fn=chat, |
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inputs=[prompt_input0, prompt_input1, chat_radio, chat_history], |
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outputs=[chatbot, prompt_input1, chat_history], |
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) |
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with gr.Row(elem_id='tab_img', visible=False).style(height=5): |
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tab_img = gr.TabbedInterface(tab_actions, tab_titles) |
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demo.launch(debug = True) |