from pyChatGPT import ChatGPT import gradio as gr import os, sys, json from loguru import logger import paddlehub as hub import random language_translation_model = hub.Module(directory=f'./baidu_translate') def getTextTrans(text, source='zh', target='en'): try: text_translation = language_translation_model.translate(text, source, target) return text_translation except Exception as e: return text 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 busy. Try again later." return response model_ids = { # "models/stabilityai/stable-diffusion-2-1":"sd-v2-1", # "models/stabilityai/stable-diffusion-2":"sd-v2-0", # "models/runwayml/stable-diffusion-v1-5":"sd-v1-5", # "models/CompVis/stable-diffusion-v1-4":"sd-v1-4", "models/prompthero/openjourney":"openjourney", # "models/ShadoWxShinigamI/Midjourney-Rangoli":"midjourney", # "models/hakurei/waifu-diffusion":"waifu-diffusion", # "models/Linaqruf/anything-v3.0":"anything-v3.0", } tab_actions = [] tab_titles = [] for model_id in model_ids.keys(): print(model_id, model_ids[model_id]) try: tab = gr.Interface.load(model_id) tab_actions.append(tab) tab_titles.append(model_ids[model_id]) except: logger.info(f"load_fail__{model_id}_") 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_chatbot(input0) out_chat.append((input0, response)) chat_history = json.dumps(out_chat) logger.info(f"out_chat_: {len(out_chat)} / {chat_radio}") return out_chat, input1, chat_history else: prompt_en = getTextTrans(input0, source='zh', target='en') + f',{random.randint(0,sys.maxsize)}' return out_chat, prompt_en, chat_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.clientHeightdocument.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; 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()) { window['gradioEl'].querySelectorAll('#component-1')[0].style.display = "none"; window['gradioEl'].querySelectorAll('#component-2')[0].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['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; } 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; if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text1.value) { console.log('_____new prompt___[' + text1.value + ']_'); window['doCheckPrompt'] = 1; window['prevPrompt'] = text1.value; for (var i = 3; i < texts.length; i++) { setNativeValue(texts[i], text1.value); texts[i].dispatchEvent(new Event('input', { bubbles: true })); } setTimeout(function() { img_submit_btns = window['gradioEl'].querySelectorAll('#tab_img')[0].querySelectorAll("button"); for (var i = 0; i < img_submit_btns.length; i++) { if (img_submit_btns[i].innerText == 'Submit') { img_submit_btns[i].click(); } } window['doCheckPrompt'] = 0; }, 10); } tabitems = window['gradioEl'].querySelectorAll('.tabitem'); imgs = tabitems[img_index].children[0].children[1].children[1].children[0].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 = "

" + text0.value + "

"; 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 = "50%"; 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; } } if (tabitems[img_index].children[0].children[1].children[1].children[0].children[0].children.length > 1) { window['chat_bot1'].children[1].textContent = tabitems[img_index].children[0].children[1].children[1].children[0].children[0].children[1].textContent; } else { window['chat_bot1'].children[1].textContent = ''; } } } catch(e) { } } window['checkChange_interval'] = window.setInterval("window.checkChange()", 500); } return false; }""" with gr.Blocks(title='Talk to chatGPT') as demo: gr.HTML("

You can duplicating this space and use your own session token: Duplicate Space

") gr.HTML("

Instruction on how to get session token can be seen in video here. Add your session token by going to settings and add under secrets.

") 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.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) submit_btn = gr.Button(value = "submit",elem_id="submit-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) demo.launch(debug = True)