app.py

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")

from utils import get_tmt_client, getTextTrans_tmt
tmt_client = get_tmt_client()

# language_translation_model = hub.Module(directory=f'./baidu_translate')
def getTextTrans(text, source='zh', target='en'):
    return getTextTrans_tmt(tmt_client, text, source, target)
    # 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 img_click(img) {
        this_width = parseInt(img.style.width) + 20;
        if (this_width > 100) {
            this_width = 20;
        }
        img.style.width = this_width + "%";     
    } 
    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 = "20%"; 
                        new_div.onclick = function(e){
                            img_click(this);
                        }                        
                        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 = "40%"; 
                            bot_div.onclick = function(e){
                                img_click(this);
                            }                            
                            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)