Duplicate from Datasculptor/ImageGPT

Co-authored-by: Dariusz Gross MLearning.ai <[email protected]>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: ChatGPT
+emoji: 📊
+colorFrom: blue
+colorTo: blue
+sdk: gradio
+sdk_version: 3.12.0
+app_file: app.py
+pinned: false
+duplicated_from: Datasculptor/ImageGPT
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+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)
+    logger.info(f"out_chat_: {len(out_chat)} / {chat_radio}")
+    if chat_radio == "Talk to chatGPT":
+        response = get_response_from_chatbot(input0)
+        out_chat.append((input0, response))
+        chat_history = json.dumps(out_chat)
+        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.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);
+      }
+    }
+    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()) {
+            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['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 = "<p>" + text0.value + "</p>";
+                            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;
+                        }
+                    }
+                    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("<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", 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)

baidu_translate/module.py

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+import argparse
+import random
+from hashlib import md5
+from typing import Optional
+
+import requests
+
+import paddlehub as hub
+from paddlehub.module.module import moduleinfo
+from paddlehub.module.module import runnable
+from paddlehub.module.module import serving
+
+
+def make_md5(s, encoding='utf-8'):
+    return md5(s.encode(encoding)).hexdigest()
+
+
+@moduleinfo(name="baidu_translate",
+            version="1.0.0",
+            type="text/machine_translation",
+            summary="",
+            author="baidu-nlp",
+            author_email="[email protected]")
+class BaiduTranslate:
+
+    def __init__(self, appid=None, appkey=None):
+        """
+      :param appid: appid for requesting Baidu translation service.
+      :param appkey: appkey for requesting Baidu translation service.
+      """
+        # Set your own appid/appkey.
+        if appid == None:
+            self.appid = '20201015000580007'
+        else:
+            self.appid = appid
+        if appkey is None:
+            self.appkey = 'IFJB6jBORFuMmVGDRud1'
+        else:
+            self.appkey = appkey
+        self.url = 'http://api.fanyi.baidu.com/api/trans/vip/translate'
+
+    def translate(self, query: str, from_lang: Optional[str] = "en", to_lang: Optional[int] = "zh"):
+        """
+        Create image by text prompts using ErnieVilG model.
+
+        :param query: Text to be translated.
+        :param from_lang: Source language.
+        :param to_lang: Dst language.
+
+        Return translated string.
+        """
+        # Generate salt and sign
+        salt = random.randint(32768, 65536)
+        sign = make_md5(self.appid + query + str(salt) + self.appkey)
+
+        # Build request
+        headers = {'Content-Type': 'application/x-www-form-urlencoded'}
+        payload = {'appid': self.appid, 'q': query, 'from': from_lang, 'to': to_lang, 'salt': salt, 'sign': sign}
+
+        # Send request
+        try:
+            r = requests.post(self.url, params=payload, headers=headers)
+            result = r.json()
+        except Exception as e:
+            error_msg = str(e)
+            raise RuntimeError(error_msg)
+        if 'error_code' in result:
+            raise RuntimeError(result['error_msg'])
+        return result['trans_result'][0]['dst']
+
+    @runnable
+    def run_cmd(self, argvs):
+        """
+        Run as a command.
+        """
+        self.parser = argparse.ArgumentParser(description="Run the {} module.".format(self.name),
+                                              prog='hub run {}'.format(self.name),
+                                              usage='%(prog)s',
+                                              add_help=True)
+        self.arg_input_group = self.parser.add_argument_group(title="Input options", description="Input data. Required")
+        self.add_module_input_arg()
+        args = self.parser.parse_args(argvs)
+        if args.appid is not None and args.appkey is not None:
+            self.appid = args.appid
+            self.appkey = args.appkey
+        result = self.translate(args.query, args.from_lang, args.to_lang)
+        return result
+
+    @serving
+    def serving_method(self, query, from_lang, to_lang):
+        """
+        Run as a service.
+        """
+        return self.translate(query, from_lang, to_lang)
+
+    def add_module_input_arg(self):
+        """
+        Add the command input options.
+        """
+        self.arg_input_group.add_argument('--query', type=str)
+        self.arg_input_group.add_argument('--from_lang', type=str, default='en', help="源语言")
+        self.arg_input_group.add_argument('--to_lang', type=str, default='zh', help="目标语言")
+        self.arg_input_group.add_argument('--appid', type=str, default=None, help="注册得到的个人appid")
+        self.arg_input_group.add_argument('--appkey', type=str, default=None, help="注册得到的个人appkey")

requirements.txt

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+pyChatGPT
+loguru
+paddlepaddle==2.3.2
+paddlehub