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Parent(s):
Duplicate from yizhangliu/chatGPT
Browse filesCo-authored-by: yizhangliu <[email protected]>
- .gitattributes +34 -0
- README.md +13 -0
- app.py +318 -0
- baidu_translate/module.py +104 -0
- requirements.txt +4 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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title: ChatGPT
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emoji: 📊
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colorFrom: blue
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colorTo: blue
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sdk: gradio
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sdk_version: 3.12.0
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app_file: app.py
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pinned: false
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duplicated_from: yizhangliu/chatGPT
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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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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# logger.info(f"session_token_: {session_token}")
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def get_api():
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api = None
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# try:
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# api = ChatGPT(session_token)
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# # api.refresh_auth()
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# except:
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# api = None
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return api
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def get_response_from_chatbot(api, text):
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if api is None:
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# return "Sorry, I'm busy. Try again later.(1)"
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return "Openai said: I'm too tired. Let me lie down for a few days. If you like, you can visit my home."
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try:
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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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conversation_id = resp['conversation_id']
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parent_id = resp['parent_id']
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# logger.info(f"response_: {response}")
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logger.info(f"conversation_id_: [{conversation_id}] / parent_id: [{parent_id}]")
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except:
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# response = "Sorry, I'm busy. Try again later.(2)"
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response = "Openai said: I'm so tired. Let me lie down for a few days. If you like, you can visit my home."
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return response
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model_ids = {
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# "models/stabilityai/stable-diffusion-2-1":"sd-v2-1",
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# "models/stabilityai/stable-diffusion-2":"sd-v2-0",
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# "models/runwayml/stable-diffusion-v1-5":"sd-v1-5",
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# "models/CompVis/stable-diffusion-v1-4":"sd-v1-4",
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"models/prompthero/openjourney":"openjourney",
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# "models/ShadoWxShinigamI/Midjourney-Rangoli":"midjourney",
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# "models/hakurei/waifu-diffusion":"waifu-diffusion",
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# "models/Linaqruf/anything-v3.0":"anything-v3.0",
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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(api, 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(api, 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 api, 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 api, 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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function save_conversation(chatbot) {
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var conversations = new Array();
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for (var i = 0; i < chatbot.children.length; i++) {
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conversations[i] = chatbot.children[i].innerHTML;
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}
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var json_str = JSON.stringify(conversations);
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localStorage.setItem('chatgpt_conversations', json_str);
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}
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function load_conversation(chatbot) {
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var json_str = localStorage.getItem('chatgpt_conversations');
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if (json_str) {
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conversations = JSON.parse(json_str);
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for (var i = 0; i < conversations.length; i++) {
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var new_div = document.createElement("div");
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if((i%2)===0){
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new_div.className = "px-3 py-2 rounded-[22px] rounded-br-none text-white text-sm chat-message svelte-rct66g";
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new_div.style.backgroundColor = "#16a34a";
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} else {
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new_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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new_div.style.backgroundColor = "#2563eb";
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if (conversations[i].indexOf("<img ") == 0) {
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new_div.style.width = "80%";
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new_div.style.padding = "0.2rem";
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}
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}
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new_div.innerHTML = conversations[i];
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chatbot.appendChild(new_div);
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}
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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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152 |
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page1.style.display = "none";
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154 |
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page2.style.display = "block";
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155 |
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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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157 |
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window['chat_bot1'] = window['gradioEl'].querySelectorAll('#chat_bot1')[0];
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158 |
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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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160 |
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window['chat_bot1'].children[1].textContent = '';
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clientHeight = getClientHeight();
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163 |
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if (isMobile()) {
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164 |
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output_htmls = window['gradioEl'].querySelectorAll('.output-html');
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165 |
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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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180 |
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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['gradioEl'].querySelectorAll('#btns_row')[0].children[0].setAttribute('style', 'min-width: min(10px, 100%); flex-grow: 1');
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window['gradioEl'].querySelectorAll('#btns_row')[0].children[1].setAttribute('style', 'min-width: min(10px, 100%); flex-grow: 1');
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load_conversation(window['chat_bot1'].children[2].children[0]);
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window['chat_bot1'].children[2].scrollTop = window['chat_bot1'].children[2].scrollHeight;
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window['gradioEl'].querySelectorAll('#clear-btn')[0].onclick = function(e){
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190 |
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if (confirm('Clear all outputs?')==true) {
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window['chat_bot1'].children[2].children[0].innerHTML = '';
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save_conversation(window['chat_bot1'].children[2].children[0]);
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}
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}
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|
196 |
+
window['prevPrompt'] = '';
|
197 |
+
window['doCheckPrompt'] = 0;
|
198 |
+
window['prevImgSrc'] = '';
|
199 |
+
window['checkChange'] = function checkChange() {
|
200 |
+
try {
|
201 |
+
if (window['gradioEl'].querySelectorAll('.gr-radio')[0].checked) {
|
202 |
+
if (window['chat_bot'].children[2].children[0].children.length > window['div_count']) {
|
203 |
+
new_len = window['chat_bot'].children[2].children[0].children.length - window['div_count'];
|
204 |
+
for (var i = 0; i < new_len; i++) {
|
205 |
+
new_div = window['chat_bot'].children[2].children[0].children[window['div_count'] + i].cloneNode(true);
|
206 |
+
window['chat_bot1'].children[2].children[0].appendChild(new_div);
|
207 |
+
}
|
208 |
+
window['div_count'] = chat_bot.children[2].children[0].children.length;
|
209 |
+
window['chat_bot1'].children[2].scrollTop = window['chat_bot1'].children[2].scrollHeight;
|
210 |
+
save_conversation(window['chat_bot1'].children[2].children[0]);
|
211 |
+
}
|
212 |
+
if (window['chat_bot'].children[0].children.length > 1) {
|
213 |
+
window['chat_bot1'].children[1].textContent = window['chat_bot'].children[0].children[1].textContent;
|
214 |
+
} else {
|
215 |
+
window['chat_bot1'].children[1].textContent = '';
|
216 |
+
}
|
217 |
+
} else {
|
218 |
+
texts = window['gradioEl'].querySelectorAll('textarea');
|
219 |
+
text0 = texts[0];
|
220 |
+
text1 = texts[1];
|
221 |
+
img_index = 0;
|
222 |
+
if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text1.value) {
|
223 |
+
console.log('_____new prompt___[' + text1.value + ']_');
|
224 |
+
window['doCheckPrompt'] = 1;
|
225 |
+
window['prevPrompt'] = text1.value;
|
226 |
+
for (var i = 3; i < texts.length; i++) {
|
227 |
+
setNativeValue(texts[i], text1.value);
|
228 |
+
texts[i].dispatchEvent(new Event('input', { bubbles: true }));
|
229 |
+
}
|
230 |
+
setTimeout(function() {
|
231 |
+
img_submit_btns = window['gradioEl'].querySelectorAll('#tab_img')[0].querySelectorAll("button");
|
232 |
+
for (var i = 0; i < img_submit_btns.length; i++) {
|
233 |
+
if (img_submit_btns[i].innerText == 'Submit') {
|
234 |
+
img_submit_btns[i].click();
|
235 |
+
}
|
236 |
+
}
|
237 |
+
window['doCheckPrompt'] = 0;
|
238 |
+
}, 10);
|
239 |
+
}
|
240 |
+
tabitems = window['gradioEl'].querySelectorAll('.tabitem');
|
241 |
+
imgs = tabitems[img_index].children[0].children[1].children[1].children[0].querySelectorAll("img");
|
242 |
+
if (imgs.length > 0) {
|
243 |
+
if (window['prevImgSrc'] !== imgs[0].src) {
|
244 |
+
var user_div = document.createElement("div");
|
245 |
+
user_div.className = "px-3 py-2 rounded-[22px] rounded-br-none text-white text-sm chat-message svelte-rct66g";
|
246 |
+
user_div.style.backgroundColor = "#16a34a";
|
247 |
+
user_div.innerHTML = "<p>" + text0.value + "</p>";
|
248 |
+
window['chat_bot1'].children[2].children[0].appendChild(user_div);
|
249 |
+
var bot_div = document.createElement("div");
|
250 |
+
bot_div.className = "px-3 py-2 rounded-[22px] rounded-bl-none place-self-start text-white text-sm chat-message svelte-rct66g";
|
251 |
+
bot_div.style.backgroundColor = "#2563eb";
|
252 |
+
bot_div.style.width = "80%";
|
253 |
+
bot_div.style.padding = "0.2rem";
|
254 |
+
bot_div.appendChild(imgs[0].cloneNode(true));
|
255 |
+
window['chat_bot1'].children[2].children[0].appendChild(bot_div);
|
256 |
+
|
257 |
+
window['chat_bot1'].children[2].scrollTop = window['chat_bot1'].children[2].scrollHeight;
|
258 |
+
window['prevImgSrc'] = imgs[0].src;
|
259 |
+
save_conversation(window['chat_bot1'].children[2].children[0]);
|
260 |
+
}
|
261 |
+
}
|
262 |
+
if (tabitems[img_index].children[0].children[1].children[1].children[0].children[0].children.length > 1) {
|
263 |
+
window['chat_bot1'].children[1].textContent = tabitems[img_index].children[0].children[1].children[1].children[0].children[0].children[1].textContent;
|
264 |
+
} else {
|
265 |
+
window['chat_bot1'].children[1].textContent = '';
|
266 |
+
}
|
267 |
+
}
|
268 |
+
|
269 |
+
} catch(e) {
|
270 |
+
}
|
271 |
+
}
|
272 |
+
window['checkChange_interval'] = window.setInterval("window.checkChange()", 500);
|
273 |
+
}
|
274 |
+
|
275 |
+
return false;
|
276 |
+
}"""
|
277 |
+
|
278 |
+
|
279 |
+
with gr.Blocks(title='Talk to chatGPT') as demo:
|
280 |
+
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>")
|
281 |
+
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>")
|
282 |
+
with gr.Group(elem_id="page_1", visible=True) as page_1:
|
283 |
+
with gr.Box():
|
284 |
+
with gr.Row():
|
285 |
+
start_button = gr.Button("Let's talk to chatGPT!", elem_id="start-btn", visible=True)
|
286 |
+
start_button.click(fn=None, inputs=[], outputs=[], _js=start_work)
|
287 |
+
|
288 |
+
with gr.Group(elem_id="page_2", visible=False) as page_2:
|
289 |
+
with gr.Row(elem_id="chat_row"):
|
290 |
+
chatbot = gr.Chatbot(elem_id="chat_bot", visible=False).style(color_map=("green", "blue"))
|
291 |
+
chatbot1 = gr.Chatbot(elem_id="chat_bot1").style(color_map=("green", "blue"))
|
292 |
+
with gr.Row(elem_id="prompt_row"):
|
293 |
+
prompt_input0 = gr.Textbox(lines=2, label="prompt",show_label=False)
|
294 |
+
prompt_input1 = gr.Textbox(lines=4, label="prompt", visible=False)
|
295 |
+
chat_history = gr.Textbox(lines=4, label="prompt", visible=False)
|
296 |
+
chat_radio = gr.Radio(["Talk to chatGPT", "Text to Image"], elem_id="chat_radio",value="Talk to chatGPT", show_label=False)
|
297 |
+
with gr.Row(elem_id="btns_row"):
|
298 |
+
with gr.Column(id="submit_col"):
|
299 |
+
submit_btn = gr.Button(value = "submit",elem_id="submit-btn").style(
|
300 |
+
margin=True,
|
301 |
+
rounded=(True, True, True, True),
|
302 |
+
width=100
|
303 |
+
)
|
304 |
+
with gr.Column(id="clear_col"):
|
305 |
+
clear_btn = gr.Button(value = "clear outputs", elem_id="clear-btn").style(
|
306 |
+
margin=True,
|
307 |
+
rounded=(True, True, True, True),
|
308 |
+
width=100
|
309 |
+
)
|
310 |
+
api = gr.State(value=get_api())
|
311 |
+
submit_btn.click(fn=chat,
|
312 |
+
inputs=[api, prompt_input0, prompt_input1, chat_radio, chat_history],
|
313 |
+
outputs=[api, chatbot, prompt_input1, chat_history],
|
314 |
+
)
|
315 |
+
with gr.Row(elem_id='tab_img', visible=False).style(height=5):
|
316 |
+
tab_img = gr.TabbedInterface(tab_actions, tab_titles)
|
317 |
+
|
318 |
+
demo.launch(debug = True)
|
baidu_translate/module.py
ADDED
@@ -0,0 +1,104 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import argparse
|
2 |
+
import random
|
3 |
+
from hashlib import md5
|
4 |
+
from typing import Optional
|
5 |
+
|
6 |
+
import requests
|
7 |
+
|
8 |
+
import paddlehub as hub
|
9 |
+
from paddlehub.module.module import moduleinfo
|
10 |
+
from paddlehub.module.module import runnable
|
11 |
+
from paddlehub.module.module import serving
|
12 |
+
|
13 |
+
|
14 |
+
def make_md5(s, encoding='utf-8'):
|
15 |
+
return md5(s.encode(encoding)).hexdigest()
|
16 |
+
|
17 |
+
|
18 |
+
@moduleinfo(name="baidu_translate",
|
19 |
+
version="1.0.0",
|
20 |
+
type="text/machine_translation",
|
21 |
+
summary="",
|
22 |
+
author="baidu-nlp",
|
23 |
+
author_email="[email protected]")
|
24 |
+
class BaiduTranslate:
|
25 |
+
|
26 |
+
def __init__(self, appid=None, appkey=None):
|
27 |
+
"""
|
28 |
+
:param appid: appid for requesting Baidu translation service.
|
29 |
+
:param appkey: appkey for requesting Baidu translation service.
|
30 |
+
"""
|
31 |
+
# Set your own appid/appkey.
|
32 |
+
if appid == None:
|
33 |
+
self.appid = '20201015000580007'
|
34 |
+
else:
|
35 |
+
self.appid = appid
|
36 |
+
if appkey is None:
|
37 |
+
self.appkey = 'IFJB6jBORFuMmVGDRud1'
|
38 |
+
else:
|
39 |
+
self.appkey = appkey
|
40 |
+
self.url = 'http://api.fanyi.baidu.com/api/trans/vip/translate'
|
41 |
+
|
42 |
+
def translate(self, query: str, from_lang: Optional[str] = "en", to_lang: Optional[int] = "zh"):
|
43 |
+
"""
|
44 |
+
Create image by text prompts using ErnieVilG model.
|
45 |
+
|
46 |
+
:param query: Text to be translated.
|
47 |
+
:param from_lang: Source language.
|
48 |
+
:param to_lang: Dst language.
|
49 |
+
|
50 |
+
Return translated string.
|
51 |
+
"""
|
52 |
+
# Generate salt and sign
|
53 |
+
salt = random.randint(32768, 65536)
|
54 |
+
sign = make_md5(self.appid + query + str(salt) + self.appkey)
|
55 |
+
|
56 |
+
# Build request
|
57 |
+
headers = {'Content-Type': 'application/x-www-form-urlencoded'}
|
58 |
+
payload = {'appid': self.appid, 'q': query, 'from': from_lang, 'to': to_lang, 'salt': salt, 'sign': sign}
|
59 |
+
|
60 |
+
# Send request
|
61 |
+
try:
|
62 |
+
r = requests.post(self.url, params=payload, headers=headers)
|
63 |
+
result = r.json()
|
64 |
+
except Exception as e:
|
65 |
+
error_msg = str(e)
|
66 |
+
raise RuntimeError(error_msg)
|
67 |
+
if 'error_code' in result:
|
68 |
+
raise RuntimeError(result['error_msg'])
|
69 |
+
return result['trans_result'][0]['dst']
|
70 |
+
|
71 |
+
@runnable
|
72 |
+
def run_cmd(self, argvs):
|
73 |
+
"""
|
74 |
+
Run as a command.
|
75 |
+
"""
|
76 |
+
self.parser = argparse.ArgumentParser(description="Run the {} module.".format(self.name),
|
77 |
+
prog='hub run {}'.format(self.name),
|
78 |
+
usage='%(prog)s',
|
79 |
+
add_help=True)
|
80 |
+
self.arg_input_group = self.parser.add_argument_group(title="Input options", description="Input data. Required")
|
81 |
+
self.add_module_input_arg()
|
82 |
+
args = self.parser.parse_args(argvs)
|
83 |
+
if args.appid is not None and args.appkey is not None:
|
84 |
+
self.appid = args.appid
|
85 |
+
self.appkey = args.appkey
|
86 |
+
result = self.translate(args.query, args.from_lang, args.to_lang)
|
87 |
+
return result
|
88 |
+
|
89 |
+
@serving
|
90 |
+
def serving_method(self, query, from_lang, to_lang):
|
91 |
+
"""
|
92 |
+
Run as a service.
|
93 |
+
"""
|
94 |
+
return self.translate(query, from_lang, to_lang)
|
95 |
+
|
96 |
+
def add_module_input_arg(self):
|
97 |
+
"""
|
98 |
+
Add the command input options.
|
99 |
+
"""
|
100 |
+
self.arg_input_group.add_argument('--query', type=str)
|
101 |
+
self.arg_input_group.add_argument('--from_lang', type=str, default='en', help="源语言")
|
102 |
+
self.arg_input_group.add_argument('--to_lang', type=str, default='zh', help="目标语言")
|
103 |
+
self.arg_input_group.add_argument('--appid', type=str, default=None, help="注册得到的个人appid")
|
104 |
+
self.arg_input_group.add_argument('--appkey', type=str, default=None, help="注册得到的个人appkey")
|
requirements.txt
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
pyChatGPT
|
2 |
+
loguru
|
3 |
+
paddlepaddle==2.3.2
|
4 |
+
paddlehub
|