Spaces:
Runtime error
Runtime error
| from pyChatGPT import ChatGPT | |
| import openai | |
| import gradio as gr | |
| import os, sys, json | |
| from loguru import logger | |
| import paddlehub as hub | |
| import random | |
| from encoder import get_encoder | |
| openai.api_key = os.getenv("OPENAI_API_KEY") | |
| language_translation_model = hub.Module(directory=f'./baidu_translate') | |
| 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 = 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_api(): | |
| api = None | |
| try: | |
| api = ChatGPT(session_token) | |
| # api.refresh_auth() | |
| except Exception as e: | |
| logger.info(f'get_api_error: {e}') | |
| api = None | |
| return api | |
| def get_response_from_chatgpt(api, text): | |
| if api is None: | |
| # return "Sorry, I'm busy. Try again later.(1)" | |
| return "Openai said: I'm too tired. Let me lie down for a few days. If you like, you can visit my home(1)." | |
| try: | |
| resp = api.send_message(text) | |
| # api.refresh_auth() | |
| # api.reset_conversation() | |
| response = resp['message'] | |
| conversation_id = resp['conversation_id'] | |
| parent_id = resp['parent_id'] | |
| # logger.info(f"response_: {response}") | |
| logger.info(f"conversation_id_: [{conversation_id}] / parent_id: [{parent_id}]") | |
| except: | |
| # response = "Sorry, I'm busy. Try again later.(2)" | |
| response = "Openai said: I'm so tired. Let me lie down for a few days. If you like, you can visit my home(2)." | |
| return response | |
| token_encoder = get_encoder() | |
| total_tokens = 4096 | |
| max_output_tokens = 1024 | |
| max_input_tokens = total_tokens - max_output_tokens | |
| def get_response_from_openai(input, history): | |
| def openai_create(prompt): | |
| # no chatgpt, and from gpt-3 | |
| try: | |
| response = openai.Completion.create( | |
| model="text-davinci-003", | |
| prompt=prompt, | |
| temperature=0.9, | |
| max_tokens=max_output_tokens, | |
| top_p=1, | |
| frequency_penalty=0, | |
| presence_penalty=0.6, | |
| stop=[" Human:", " AI:"] | |
| ) | |
| ret = response.choices[0].text | |
| if ret == '': | |
| ret = "Openai said: I'm too tired. Let me lie down for a few days. If you like, you can visit my home(3)." | |
| except Exception as e: | |
| ret = "Openai said: I'm too tired. Let me lie down for a few days. If you like, you can visit my home(4)." | |
| return ret | |
| history = history or [] | |
| his= [tuple(item) for item in history] | |
| s = list(sum(his, ())) | |
| s.append(input) | |
| inp = ' '.join(s) | |
| tokens = token_encoder.encode(inp) | |
| if len(tokens) > max_input_tokens: | |
| new_tokens = tokens[-max_input_tokens:] | |
| inp = token_encoder.decode(new_tokens) | |
| # tokens_1 = token_encoder.encode(inp) | |
| # logger.info(f"tokens_len[1]__{len(tokens)}__{len(new_tokens)}__{len(tokens_1)}") | |
| # else: | |
| # logger.info(f"tokens_len[0]__{len(tokens)}") | |
| output = openai_create(inp) | |
| return output | |
| 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 save_conversation(chatbot) { | |
| var conversations = new Array(); | |
| var conversations_noimg = new Array(); | |
| for (var i = 0; i < chatbot.children.length; i++) { | |
| innerHTML = chatbot.children[i].innerHTML; | |
| conversations.push(innerHTML); | |
| if (innerHTML.indexOf("<img ") == -1) { | |
| conversations_noimg.push(innerHTML); | |
| } | |
| } | |
| var json_str = JSON.stringify(conversations); | |
| setNativeValue(window['chat_his'], JSON.stringify(conversations_noimg)); | |
| localStorage.setItem('chatgpt_conversations', json_str); | |
| } | |
| function load_conversation(chatbot) { | |
| var json_str = localStorage.getItem('chatgpt_conversations'); | |
| if (json_str) { | |
| var conversations_noimg = new Array(); | |
| 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"; | |
| } | |
| } | |
| innerHTML = conversations[i]; | |
| new_div.innerHTML = innerHTML; | |
| chatbot.appendChild(new_div); | |
| if (innerHTML.indexOf("<img ") == -1) { | |
| conversations_noimg.push(innerHTML); | |
| } | |
| } | |
| setNativeValue(window['chat_his'], JSON.stringify(conversations_noimg)); | |
| } | |
| } | |
| 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]; | |
| 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].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); | |
| } | |
| 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><img ></img>"; | |
| 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", | |
| # "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}") | |
| def chat(api, input0, input1, chat_radio, chat_history): | |
| out_chat = [] | |
| chat_history = chat_history.replace('<p>', '').replace('</p>', '') | |
| if chat_history != '': | |
| out_chat_1 = json.loads(chat_history) | |
| for i in range(int(len(out_chat_1)/2)): | |
| out_chat.append([out_chat_1[2*i], out_chat_1[2*i+1]]) | |
| # logger.info(f"out_chat_: {len(out_chat)} / {chat_radio}") | |
| if chat_radio == "Talk to chatGPT": | |
| # response = get_response_from_chatgpt(api, input0) | |
| response = get_response_from_openai(input0, out_chat) | |
| out_chat.append((input0, response)) | |
| # logger.info(f'liuyz_5___{out_chat}__') | |
| return api, out_chat, input1 | |
| else: | |
| prompt_en = getTextTrans(input0, source='zh', target='en') + f',{random.randint(0,sys.maxsize)}' | |
| return api, out_chat, prompt_en | |
| with gr.Blocks(title='Talk to chatGPT') as demo: | |
| with gr.Group(elem_id="page_0", visible=True) 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>") | |
| 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>") | |
| 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", elem_id="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) | |
| 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 | |
| ) | |
| api = gr.State(value=get_api()) | |
| submit_btn.click(fn=chat, | |
| inputs=[api, prompt_input0, prompt_input1, chat_radio, chat_history], | |
| outputs=[api, chatbot, prompt_input1], | |
| ) | |
| with gr.Row(elem_id='tab_img', visible=False).style(height=5): | |
| tab_img = gr.TabbedInterface(tab_actions, tab_titles) | |
| demo.launch(debug = True) |