Duplicate from yizhangliu/Text-to-Image

Co-authored-by: yizhangliu <yizhangliu@users.noreply.huggingface.co>

.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: Text To Image
+emoji: 👀
+colorFrom: purple
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.12.0
+app_file: app.py
+pinned: false
+duplicated_from: yizhangliu/Text-to-Image
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from transformers import pipeline
+import gradio as gr
+import random
+import string
+import paddlehub as hub 
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from loguru import logger
+
+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 
+        
+space_ids = {
+            "spaces/stabilityai/stable-diffusion": "SD 2.1",
+            "spaces/runwayml/stable-diffusion-v1-5": "SD 1.5",
+            "spaces/stabilityai/stable-diffusion-1": "SD 1.0",
+            "dalle_mini_tab": "Dalle mini",
+            "spaces/IDEA-CCNL/Taiyi-Stable-Diffusion-Chinese": "Taiyi(太乙)",
+            }
+
+tab_actions = []
+tab_titles = []
+
+extend_prompt_1 = True
+extend_prompt_2 = True
+extend_prompt_3 = True
+
+thanks_info = "Thanks: "
+if extend_prompt_1:
+    extend_prompt_pipe = pipeline('text-generation', model='yizhangliu/prompt-extend', max_length=77, pad_token_id=0)
+    thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/daspartho/prompt-extend' _blank><font style='color:blue;weight:bold;'>prompt-extend(1)</font></a>]"
+if extend_prompt_2:
+    def load_prompter():
+      prompter_model = AutoModelForCausalLM.from_pretrained("microsoft/Promptist")
+      tokenizer = AutoTokenizer.from_pretrained("gpt2")
+      tokenizer.pad_token = tokenizer.eos_token
+      tokenizer.padding_side = "left"
+      return prompter_model, tokenizer
+    prompter_model, prompter_tokenizer = load_prompter()
+    def extend_prompt_microsoft(in_text):
+        input_ids = prompter_tokenizer(in_text.strip()+" Rephrase:", return_tensors="pt").input_ids
+        eos_id = prompter_tokenizer.eos_token_id 
+        outputs = prompter_model.generate(input_ids, do_sample=False, max_new_tokens=75, num_beams=8, num_return_sequences=8, eos_token_id=eos_id, pad_token_id=eos_id, length_penalty=-1.0)
+        output_texts = prompter_tokenizer.batch_decode(outputs, skip_special_tokens=True)
+        res = output_texts[0].replace(in_text+" Rephrase:", "").strip()
+        return res    
+    thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/microsoft/Promptist' _blank><font style='color:blue;weight:bold;'>Promptist(2)</font></a>]"
+if extend_prompt_3:
+    MagicPrompt = gr.Interface.load("spaces/Gustavosta/MagicPrompt-Stable-Diffusion")
+    thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/Gustavosta/MagicPrompt-Stable-Diffusion' _blank><font style='color:blue;weight:bold;'>MagicPrompt(3)</font></a>]"
+
+do_dreamlike_photoreal = False
+if do_dreamlike_photoreal:
+    def add_random_noise(prompt, noise_level=0.1):
+        # Get the percentage of characters to add as noise
+        percentage_noise = noise_level * 5
+        # Get the number of characters to add as noise
+        num_noise_chars = int(len(prompt) * (percentage_noise/100))
+        # Get the indices of the characters to add noise to
+        noise_indices = random.sample(range(len(prompt)), num_noise_chars)
+        # Add noise to the selected characters
+        prompt_list = list(prompt)
+        for index in noise_indices:
+            prompt_list[index] = random.choice(string.ascii_letters + string.punctuation)
+        new_prompt = "".join(prompt_list)
+        return new_prompt
+        
+    dreamlike_photoreal_2_0 = gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
+    dreamlike_image = gr.Image(label="Dreamlike Photoreal 2.0")
+
+    tab_actions.append(dreamlike_image)
+    tab_titles.append("Dreamlike_2.0")
+    thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0' _blank><font style='color:blue;weight:bold;'>dreamlike-photoreal-2.0</font></a>]"
+
+for space_id in space_ids.keys():
+    print(space_id, space_ids[space_id])
+    try:
+        tab_title = space_ids[space_id]
+        tab_titles.append(tab_title)
+        if (tab_title == 'Dalle mini'):
+            tab_content = gr.Blocks(elem_id='dalle_mini')
+            tab_actions.append(tab_content)            
+        else:
+            tab_content = gr.Interface.load(space_id)
+            tab_actions.append(tab_content)
+            thanks_info += f"[<a style='display:inline-block' href='https://huggingface.co/{space_id}' _blank><font style='color:blue;weight:bold;'>{tab_title}</font></a>]"
+    except Exception as e:
+        logger.info(f"load_fail__{space_id}_{e}")
+
+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);
+      }
+    }
+    window['tab_advanced'] = 0;
+    
+    var gradioEl = document.querySelector('body > gradio-app').shadowRoot;
+    if (!gradioEl) {
+        gradioEl = document.querySelector('body > gradio-app');
+    }
+    
+    if (typeof window['gradioEl'] === 'undefined') {
+        window['gradioEl'] = gradioEl;
+        tabitems = window['gradioEl'].querySelectorAll('.tabitem');
+        tabitems_title = window['gradioEl'].querySelectorAll('#tab_demo')[0].children[0].children[0].children;
+        window['dalle_mini_block'] = null;
+        window['dalle_mini_iframe'] = null;
+        for (var i = 0; i < tabitems.length; i++) {   
+            if (tabitems_title[i].innerText.indexOf('SD') >= 0) {
+                tabitems[i].childNodes[0].children[0].style.display='none';
+                for (var j = 0; j < tabitems[i].childNodes[0].children[1].children.length; j++) {
+                    if (j != 1) {
+                        tabitems[i].childNodes[0].children[1].children[j].style.display='none';
+                    }
+                }
+                if (tabitems_title[i].innerText.indexOf('SD 1') >= 0) {
+                    for (var j = 0; j < 4; j++) {
+                        tabitems[i].childNodes[0].children[1].children[3].children[1].children[j].children[2].removeAttribute("disabled");
+                    }
+                } else if (tabitems_title[i].innerText.indexOf('SD 2') >= 0) {
+                    tabitems[i].children[0].children[1].children[3].children[0].click();
+                }
+            } else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) {
+                tabitems[i].children[0].children[0].children[1].style.display='none';
+                tabitems[i].children[0].children[0].children[0].children[0].children[1].style.display='none';
+            } else if (tabitems_title[i].innerText.indexOf('Dreamlike') >= 0) {
+                tabitems[i].childNodes[0].children[0].children[1].style.display='none';
+            } else if (tabitems_title[i].innerText.indexOf('Dalle mini') >= 0) {
+                window['dalle_mini_block']=  tabitems[i];
+            }
+        }  
+        
+        tab_demo = window['gradioEl'].querySelectorAll('#tab_demo')[0];
+        tab_demo.style.display = "block";
+        tab_demo.setAttribute('style', 'height: 100%;');
+        const page1 = window['gradioEl'].querySelectorAll('#page_1')[0];
+        const page2 = window['gradioEl'].querySelectorAll('#page_2')[0];
+        
+        btns_1 = window['gradioEl'].querySelector('#input_col1_row3').children;
+        btns_1_split = 100 / btns_1.length;
+        for (var i = 0; i < btns_1.length; i++) {
+            btns_1[i].setAttribute('style', 'min-width:0px;width:' + btns_1_split + '%;');
+        }
+        page1.style.display = "none";
+        page2.style.display = "block";  
+        prompt_work = window['gradioEl'].querySelectorAll('#prompt_work');
+        for (var i = 0; i < prompt_work.length; i++) {
+            prompt_work[i].style.display='none';
+        }         
+        
+        window['prevPrompt'] = '';
+        window['doCheckPrompt'] = 0;
+        window['checkPrompt'] = function checkPrompt() {
+            try {
+                    prompt_work = window['gradioEl'].querySelectorAll('#prompt_work');
+                    if (prompt_work.length > 0 && prompt_work[0].children.length > 1) {
+                        prompt_work[0].children[1].style.display='none';
+                        prompt_work[0].style.display='block';
+                    }            
+                    text_value = window['gradioEl'].querySelectorAll('#prompt_work')[0].querySelectorAll('textarea')[0].value;
+                    progress_bar = window['gradioEl'].querySelectorAll('.progress-bar');
+                    if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text_value && progress_bar.length == 0) {
+                            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++) {  
+                                if (tabitems_title[i].innerText.indexOf('Dalle mini') >= 0) {
+                                    if (window['dalle_mini_block']) {
+                                        if (window['dalle_mini_iframe'] === null) {
+                                            window['dalle_mini_iframe'] = document.createElement('iframe');                                                
+                                            window['dalle_mini_iframe'].height = 1000;
+                                            window['dalle_mini_iframe'].width = '100%';        
+                                            window['dalle_mini_iframe'].id = 'dalle_iframe';   
+                                            window['dalle_mini_block'].appendChild(window['dalle_mini_iframe']);
+                                        } 
+                                        window['dalle_mini_iframe'].src = 'https://yizhangliu-dalleclone.hf.space/index.html?prompt=' + encodeURI(text_value);
+                                        console.log('dalle_mini');
+                                    }    
+                                    continue;
+                                }
+                                inputText = null;
+                                if (tabitems_title[i].innerText.indexOf('SD') >= 0) {
+                                    text_value = window['gradioEl'].querySelectorAll('#prompt_work')[0].querySelectorAll('textarea')[0].value;
+                                    inputText = tabitems[i].children[0].children[1].children[0].querySelectorAll('.gr-text-input')[0];
+                                } else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) {
+                                    text_value = window['gradioEl'].querySelectorAll('#prompt_work_zh')[0].querySelectorAll('textarea')[0].value;
+                                    inputText = tabitems[i].children[0].children[0].children[1].querySelectorAll('.gr-text-input')[0];
+                                }
+                                if (inputText) {
+                                    setNativeValue(inputText, text_value);
+                                    inputText.dispatchEvent(new Event('input', { bubbles: true }));
+                                }                                
+                            }
+                           
+                            setTimeout(function() {
+                                btns = window['gradioEl'].querySelectorAll('button');
+                                for (var i = 0; i < btns.length; i++) {
+                                    if (['Generate image','Run', '生成图像(Generate)'].includes(btns[i].innerText)) {
+                                        btns[i].click();                
+                                    }
+                                }
+                                window['doCheckPrompt'] = 0;
+                            }, 10);                   
+                    }
+            } catch(e) {
+            }        
+        }
+        window['checkPrompt_interval'] = window.setInterval("window.checkPrompt()", 100);         
+    }
+   
+    return false;
+}"""
+
+switch_tab_advanced = """async() => {
+    window['tab_advanced'] = 1 - window['tab_advanced'];
+    if (window['tab_advanced']==0) {
+        action = 'none';
+    } else {
+        action = 'block';
+    }
+    tabitems = window['gradioEl'].querySelectorAll('.tabitem');
+    tabitems_title = window['gradioEl'].querySelectorAll('#tab_demo')[0].children[0].children[0].children;  
+    for (var i = 0; i < tabitems.length; i++) {   
+        if (tabitems_title[i].innerText.indexOf('SD') >= 0) {
+            //tabitems[i].childNodes[0].children[1].children[0].style.display=action;
+            //tabitems[i].childNodes[0].children[1].children[4].style.display=action;
+            for (var j = 0; j < tabitems[i].childNodes[0].children[1].children.length; j++) {
+                if (j != 1) {
+                    tabitems[i].childNodes[0].children[1].children[j].style.display=action;
+                }
+            }            
+        } else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) {
+            tabitems[i].children[0].children[0].children[1].style.display=action;
+        }
+    }
+    return false;
+}"""
+
+def prompt_extend(prompt, PM):    
+    prompt_en = getTextTrans(prompt, source='zh', target='en')
+    if PM == 1:
+        extend_prompt_en = extend_prompt_pipe(prompt_en+',', num_return_sequences=1)[0]["generated_text"]   
+    elif PM == 2:
+        extend_prompt_en = extend_prompt_microsoft(prompt_en)
+    elif PM == 3:
+        extend_prompt_en = MagicPrompt(prompt_en)        
+        
+    if (prompt != prompt_en):
+        logger.info(f"extend_prompt__1_PM=[{PM}]_")
+        extend_prompt_out = getTextTrans(extend_prompt_en, source='en', target='zh')
+    else:
+        logger.info(f"extend_prompt__2_PM=[{PM}]_")
+        extend_prompt_out = extend_prompt_en
+
+    return extend_prompt_out
+
+def prompt_extend_1(prompt):  
+    extend_prompt_out = prompt_extend(prompt, 1)
+    return extend_prompt_out
+
+def prompt_extend_2(prompt):  
+    extend_prompt_out = prompt_extend(prompt, 2)
+    return extend_prompt_out
+
+def prompt_extend_3(prompt):  
+    extend_prompt_out = prompt_extend(prompt, 3)
+    return extend_prompt_out    
+
+def prompt_draw_1(prompt, noise_level):
+    prompt_en = getTextTrans(prompt, source='zh', target='en')
+    if (prompt != prompt_en):
+        logger.info(f"draw_prompt______1__")
+        prompt_zh = prompt
+    else:
+        logger.info(f"draw_prompt______2__")
+        prompt_zh = getTextTrans(prompt, source='en', target='zh')
+
+    prompt_with_noise = add_random_noise(prompt_en, noise_level)
+    dreamlike_output = dreamlike_photoreal_2_0(prompt_with_noise)
+    return prompt_en, prompt_zh, dreamlike_output
+
+def prompt_draw_2(prompt):
+    prompt_en = getTextTrans(prompt, source='zh', target='en')
+    if (prompt != prompt_en):
+        logger.info(f"draw_prompt______1__")
+        prompt_zh = prompt
+    else:
+        logger.info(f"draw_prompt______2__")
+        prompt_zh = getTextTrans(prompt, source='en', target='zh')
+    return prompt_en, prompt_zh
+
+with gr.Blocks(title='Text-to-Image') as demo:
+    with gr.Group(elem_id="page_1", visible=True) as page_1:
+        with gr.Box():            
+            with gr.Row():
+                start_button = gr.Button("Let's GO!", 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="prompt_row0"):
+                with gr.Column(id="input_col1"):
+                    with gr.Row(elem_id="input_col1_row1"):
+                        prompt_input0 = gr.Textbox(lines=2, label="Original prompt", visible=True)
+                    with gr.Row(elem_id="input_col1_row2"):
+                        prompt_work = gr.Textbox(lines=1, label="prompt_work", elem_id="prompt_work", visible=True)                        
+                    with gr.Row(elem_id="input_col1_row3"):
+                        with gr.Column(elem_id="input_col1_row2_col0"):
+                            draw_btn_0 = gr.Button(value = "Generate(original)", elem_id="draw-btn-0")
+                        if extend_prompt_1:
+                            with gr.Column(elem_id="input_col1_row2_col1"):
+                                extend_btn_1 = gr.Button(value = "Extend_1",elem_id="extend-btn-1") 
+                        if extend_prompt_2:
+                            with gr.Column(elem_id="input_col1_row2_col2"):
+                                extend_btn_2 = gr.Button(value = "Extend_2",elem_id="extend-btn-2")
+                        if extend_prompt_3:                                
+                            with gr.Column(elem_id="input_col1_row2_col3"):
+                                extend_btn_3 = gr.Button(value = "Extend_3",elem_id="extend-btn-3") 
+                with gr.Column(id="input_col2"):
+                    prompt_input1 = gr.Textbox(lines=2, label="Extend prompt", visible=True)
+                    draw_btn_1 = gr.Button(value = "Generate(extend)", elem_id="draw-btn-1")
+            with gr.Row(elem_id="prompt_row1"):
+                with gr.Column(id="input_col3"):
+                    with gr.Row(elem_id="input_col3_row2"):
+                        prompt_work_zh = gr.Textbox(lines=1, label="prompt_work_zh", elem_id="prompt_work_zh", visible=False)  
+            with gr.Row(elem_id='tab_demo', visible=True).style(height=200):
+                tab_demo = gr.TabbedInterface(tab_actions, tab_titles) 
+            if do_dreamlike_photoreal:
+                with gr.Row():
+                    noise_level=gr.Slider(minimum=0.1, maximum=3, step=0.1, label="Dreamlike noise Level: [Higher noise level produces more diverse outputs, while lower noise level produces similar outputs.]")
+            with gr.Row():                
+                switch_tab_advanced_btn = gr.Button(value = "Switch_tab_advanced", elem_id="switch_tab_advanced_btn")
+                switch_tab_advanced_btn.click(fn=None, inputs=[], outputs=[], _js=switch_tab_advanced)   
+            with gr.Row():                
+                gr.HTML(f"<p>{thanks_info}</p>") 
+
+            if extend_prompt_1:
+                extend_btn_1.click(fn=prompt_extend_1, inputs=[prompt_input0], outputs=[prompt_input1])
+            if extend_prompt_2:
+                extend_btn_2.click(fn=prompt_extend_2, inputs=[prompt_input0], outputs=[prompt_input1])
+            if extend_prompt_3:                                
+                extend_btn_3.click(fn=prompt_extend_3, inputs=[prompt_input0], outputs=[prompt_input1])
+
+            if do_dreamlike_photoreal:
+                draw_btn_0.click(fn=prompt_draw_1, inputs=[prompt_input0, noise_level], outputs=[prompt_work, prompt_work_zh, dreamlike_image])
+                draw_btn_1.click(fn=prompt_draw_1, inputs=[prompt_input1, noise_level], outputs=[prompt_work, prompt_work_zh, dreamlike_image])
+            else:
+                draw_btn_0.click(fn=prompt_draw_2, inputs=[prompt_input0], outputs=[prompt_work, prompt_work_zh])
+                draw_btn_1.click(fn=prompt_draw_2, inputs=[prompt_input1], outputs=[prompt_work, prompt_work_zh])                
+
+demo.queue()
+demo.launch()

baidu_translate/module.py

@@ -0,0 +1,103 @@
+import argparse
+import random, os
+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="paddle-dev@baidu.com")
+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.
+      """
+        appid = os.environ.get('baidu_translate_appid')
+        appkey = os.environ.get('baidu_translate_appkey')
+        # Set your own appid/appkey.
+        if appid is None:
+            self.appid = '' 
+        else:
+            self.appid = appid
+        if appkey is None:
+            self.appkey = '' 
+        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

@@ -0,0 +1,9 @@
+ftfy
+spacy
+transformers 
+torch
+gradio
+paddlepaddle==2.3.2
+paddlehub
+loguru
+tencentcloud-sdk-python

utils.py

@@ -0,0 +1,54 @@
+import json, os
+from tencentcloud.common import credential
+from tencentcloud.common.profile.client_profile import ClientProfile
+from tencentcloud.common.profile.http_profile import HttpProfile
+from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
+from tencentcloud.tmt.v20180321 import tmt_client, models
+
+def get_tmt_client():
+    try:
+        # 实例化一个认证对象，入参需要传入腾讯云账户 SecretId 和 SecretKey，此处还需注意密钥对的保密
+        # 代码泄露可能会导致 SecretId 和 SecretKey 泄露，并威胁账号下所有资源的安全性。以下代码示例仅供参考，建议采用更安全的方式来使用密钥，请参见：https://cloud.tencent.com/document/product/1278/85305
+        # 密钥可前往官网控制台 https://console.cloud.tencent.com/cam/capi 进行获取
+        SecretId = os.environ.get("TENCENTCLOUD_SECRET_ID")
+        SecretKey = os.environ.get("TENCENTCLOUD_SECRET_KEY")    
+        cred = credential.Credential(SecretId, SecretKey)
+        # 实例化一个http选项，可选的，没有特殊需求可以跳过
+        httpProfile = HttpProfile()
+        httpProfile.endpoint = "tmt.tencentcloudapi.com"
+
+        # 实例化一个client选项，可选的，没有特殊需求可以跳过
+        clientProfile = ClientProfile()
+        clientProfile.httpProfile = httpProfile
+        # 实例化要请求产品的client对象,clientProfile是可选的
+        client = tmt_client.TmtClient(cred, "ap-shanghai", clientProfile)
+        print(f'client_{client}')
+        return client
+    except TencentCloudSDKException as err:
+        print(f'client_err_{err}')
+        return None
+
+def getTextTrans_tmt(tmt_client, text, source='zh', target='en'):
+    def is_chinese(string):
+        for ch in string:
+            if u'\u4e00' <= ch <= u'\u9fff':
+                return True
+        return False
+
+    if tmt_client is None:
+        return text
+    if not is_chinese(text) and target == 'en': 
+        return text
+    try:
+        req = models.TextTranslateRequest()
+        params = {
+            "SourceText": text,
+            "Source": source,
+            "Target": target,
+            "ProjectId": 0
+        }   
+        req.from_json_string(json.dumps(params))
+        resp = tmt_client.TextTranslate(req)
+        return resp.TargetText
+    except Exception as e:
+        return text