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app_old.py
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from PIL import Image
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import numpy as np
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import gradio as gr
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import paddlehub as hub
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import urllib
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import cv2
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import io
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from os import path
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from pydub import AudioSegment
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import moviepy.video.io.ImageSequenceClip
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from moviepy.editor import *
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import mutagen
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from mutagen.mp3 import MP3
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img_to_text = gr.Blocks.load(name="spaces/pharma/CLIP-Interrogator")
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text_to_music = gr.Interface.load("spaces/fffiloni/text-2-music")
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model = hub.Module(name='ernie_vilg', ak = os.environ.get("ak"), sk = os.environ.get("sk"))
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#model = hub.Module(name='ernie_vilg')
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language_translation_model = hub.Module(name='baidu_translate')
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language_recognition_model = hub.Module(name='baidu_language_recognition')
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style_list = ['古风', '油画', '水彩', '卡通', '二次元', '浮世绘', '蒸汽波艺术', 'low poly', '像素风格', '概念艺术', '未来主义', '赛博朋克', '写实风格', '洛丽塔风格', '巴洛克风格', '超现实主义', '探索无限']
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style_list_EN = ['Chinese Ancient Style', 'Oil painting', 'Watercolor', 'Cartoon', 'Anime', 'Ukiyoe', 'Vaporwave', 'low poly', 'Pixel Style', 'Conceptual Art', 'Futurism', 'Cyberpunk', 'Realistic style', 'Lolita style', 'Baroque style', 'Surrealism', '']
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tips = {"en": "Tips: The input text will be translated into Chinese for generation",
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"jp": "ヒント: 入力テキストは生成のために中国語に翻訳されます",
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"kor": "힌트: 입력 텍스트는 생성을 위해 중국어로 번역됩니다"}
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count = 0
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def translate_language_example(text_prompts, style_indx):
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return translate_language(text_prompts)
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def translate_language(text_prompts):
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global count
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try:
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count += 1
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tips_text = None
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language_code = language_recognition_model.recognize(text_prompts)
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if language_code != 'zh':
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text_prompts = language_translation_model.translate(text_prompts, language_code, 'zh')
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except Exception as e:
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error_text = str(e)
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return {status_text:error_text, language_tips_text:gr.update(visible=False)}
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if language_code in tips:
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tips_text = tips[language_code]
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else:
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tips_text = tips['en']
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if language_code == 'zh':
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return {language_tips_text:gr.update(visible=False), translated_language:text_prompts, trigger_component: gr.update(value=count, visible=False)}
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else:
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return {language_tips_text:gr.update(visible=True, value=tips_text), translated_language:text_prompts, trigger_component: gr.update(value=count, visible=False)}
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def get_result(text_prompts, style_indx):
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try:
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style = style_list[style_indx]
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results = model.generate_image(
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text_prompts=text_prompts, style=style, visualization=False, topk=1)
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except Exception as e:
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error_text = str(e)
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return {video_result:None, status_text:error_text}
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image_output = results[:1]
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print("Ernie Vilg Output: " + str(results[:1]))
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print("Ernie Vilg Output test: " + str(results))
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print("file name: " + image_output[0].filename)
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# Encode your PIL Image as a JPEG without writing to disk
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imagefile = "imageoutput.png"
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#img_np = np.array(image_output[0])
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#img_nparray= cv2.cvtColor(img_np, cv2.COLOR_BGR2RGBA)
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#img_blue_correction = Image.fromarray(img_nparray)
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#img_blue_correction.save(imagefile, img_blue_correction.format)
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image_output[0].save(imagefile, image_output[0].format)
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interrogate_prompt = img_to_text(imagefile, fn_index=1)[0]
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print(interrogate_prompt)
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music_output = get_music(interrogate_prompt + ", " + style_list_EN[style_indx])
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video_merged = merge_video(music_output, image_output)
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return {video_result:video_merged, status_text:'Success'}
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def get_music(prompt):
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result = text_to_music(prompt, fn_index=0)
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print(f"""—————
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NEW RESULTS
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prompt : {prompt}
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music : {result}
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———————
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""")
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url = result
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save_as = "file.mp3"
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data = urllib.request.urlopen(url)
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f = open(save_as,'wb')
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f.write(data.read())
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f.close()
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#wave_file="file.wav"
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#sound = AudioSegment.from_mp3(save_as)
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#sound.export(wave_file, format="wav")
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return save_as
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def merge_video(music, img_list):
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#Convert to mp3
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#music.export("audio.mp3", format="mp3")
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print('wav audio converted to mp3 audio' )
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print('now getting duration of this mp3 audio' )
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#getting audio clip's duration
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audio_length = int(MP3(music).info.length)
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print('Audio length is :',audio_length)
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file_name = 'video_no_audio.mp4'
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fps = 12
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slide_time = audio_length
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fourcc = cv2.VideoWriter.fourcc(*'MJPG')
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out = cv2.VideoWriter(file_name, fourcc, fps, (1024, 1024))
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for image in img_list:
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cv_img = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
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for _ in range(slide_time * fps):
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#cv_img = cv2.resize(np.array(cv_img), (1024, 1024))
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out.write(cv_img)
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out.release()
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#String a list of images into a video and write to memory
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print('video clip created successfully from images')
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# loading video file
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print('Starting video and audio merge')
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videoclip = VideoFileClip(file_name) #("/content/gdrive/My Drive/AI/my_video1.mp4")
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print('loading video-clip')
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# loading audio file
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audioclip = AudioFileClip(music) #.subclip(0, 15)
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print('loading mp3-format audio')
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# adding audio to the video clip
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mergedclip = videoclip.set_audio(audioclip)
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print('video and audio merged successfully')
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#Getting size and frame count of merged video file
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print('Getting size and frame count of merged video file')
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duration = mergedclip.duration
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frame_count = mergedclip.fps
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print('duration is:',duration)
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print('frame count :', frame_count)
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mergedclip.to_videofile('mergedvideo.mp4')
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return 'mergedvideo.mp4'
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title="文生图生音乐视频 Text to Image to Music to Video"
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description="An AI art generation pipeline, which supports text-to-image-to-music task."
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css = """
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.gradio-container {
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font-family: 'IBM Plex Sans', sans-serif;
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}
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.gr-button {
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color: white;
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border-color: black;
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background: black;
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}
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input[type='range'] {
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accent-color: black;
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}
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.dark input[type='range'] {
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accent-color: #dfdfdf;
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}
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.container {
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max-width: 730px;
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margin: auto;
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padding-top: 1.5rem;
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}
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#gallery {
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min-height: 22rem;
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margin-bottom: 15px;
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margin-left: auto;
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margin-right: auto;
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border-bottom-right-radius: .5rem !important;
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border-bottom-left-radius: .5rem !important;
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}
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#gallery>div>.h-full {
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min-height: 20rem;
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}
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.details:hover {
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text-decoration: underline;
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}
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.gr-button {
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white-space: nowrap;
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}
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.gr-button:focus {
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border-color: rgb(147 197 253 / var(--tw-border-opacity));
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outline: none;
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box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
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--tw-border-opacity: 1;
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--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
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--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
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--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
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--tw-ring-opacity: .5;
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}
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.footer {
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margin-bottom: 45px;
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margin-top: 35px;
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text-align: center;
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border-bottom: 1px solid #e5e5e5;
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}
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.footer>p {
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font-size: .8rem;
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display: inline-block;
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padding: 0 10px;
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transform: translateY(10px);
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background: white;
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}
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.dark .footer {
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border-color: #303030;
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}
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.dark .footer>p {
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background: #0b0f19;
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}
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.prompt h4{
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margin: 1.25em 0 .25em 0;
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font-weight: bold;
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font-size: 115%;
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}
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"""
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block = gr.Blocks(css=css)
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examples = [
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[
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'蒙娜丽莎,赛博朋克,宝丽来,33毫米',
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'蒸汽波艺术(Vaporwave)'
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],
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[
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'一条由闪电制成的令人敬畏的龙',
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'概念艺术(Conceptual Art)'
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],
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[
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'An awesome dragon made of lightning',
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'概念艺术(Conceptual Art)'
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],
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[
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'嫦娥在时代广场,戏曲',
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'写实风格(Realistic style)'
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],
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[
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'Peking Opera at New York',
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'探索无限(Explore infinity)'
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],
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[
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'古风少女',
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'水彩(Watercolor)'
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],
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[
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'辐射游戏角色',
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'探索无限(Explore infinity)'
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],
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[
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'Fallout game character',
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'探索无限(Explore infinity)'
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],
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[
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'Traditional Chinese Painting',
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'古风(Ancient Style)'
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],
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[
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'原神游戏截图,pixiv, 二次元绘画作品',
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'二次元(Anime)'
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],
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[
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'Genshin Impact Game Screenshot, pixiv, Anime Painting Artworks',
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'二次元(Anime)'
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],
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[
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'原神角色设定, 哪吒, pixiv, 二次元绘画',
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'二次元(Anime)'
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],
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[
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'Genshin Impact Character Design, Harry Potter, pixiv, Anime Painting',
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'二次元(Anime)'
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],
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[
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'巨狼,飘雪,蓝色大片烟雾,毛发细致,烟雾缭绕,高清,3d,cg感,侧面照',
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'探索无限(Explore infinity)'
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],
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[
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'汉服少女,中国山水画,青山绿水,溪水长流,古风,科技都市,丹青水墨,中国风',
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'赛博朋克(Cyberpunk)'
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],
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[
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'戴着墨镜的赛博朋克女孩肖像,在夕阳下的城市中, 油画风格',
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'赛博朋克(Cyberpunk)'
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],
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[
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'Portrait of a cyberpunk girl with sunglasses, in the city sunset, oil painting',
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'赛博朋克(Cyberpunk)'
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],
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[
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'暗黑破坏神',
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'探索无限(Explore infinity)'
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],
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[
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'火焰,凤凰,少女,未来感,高清,3d,精致面容,cg感,古风,唯美,毛发细致,上半身立绘',
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'探索无限(Explore infinity)'
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],
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[
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'浮世绘日本科幻哑光绘画,概念艺术,动漫风格神道寺禅园英雄动作序列,包豪斯',
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'探索无限(Explore infinity)'
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],
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[
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'一只猫坐在椅子上,戴着一副墨镜,海盗风格',
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'探索无限(Explore infinity)'
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],
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[
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'稲妻で作られた畏敬の念を抱かせる竜、コンセプトアート',
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'油画(Oil painting)'
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],
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[
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'번개로 만든 경외스러운 용, 개념 예술',
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'油画(Oil painting)'
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],
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[
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'梵高猫头鹰',
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'蒸汽波艺术(Vaporwave)'
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],
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[
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'萨尔瓦多·达利描绘古代文明的超现实主义梦幻油画',
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'写实风格(Realistic style)'
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],
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[
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'夕阳日落时,阳光落在云层上,海面波涛汹涌,风景,胶片感',
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'探索无限(Explore infinity)'
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],
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[
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'Sunset, the sun falls on the clouds, the sea is rough, the scenery is filmy',
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'油画(Oil painting)'
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],
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[
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'夕日が沈むと、雲の上に太陽の光が落ち、海面は波が荒く、風景、フィルム感',
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'油画(Oil painting)'
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],
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[
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'석양이 질 때 햇빛이 구름 위에 떨어지고, 해수면의 파도가 용솟음치며, 풍경, 필름감',
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'油画(Oil painting)'
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],
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]
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with block:
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 650px; margin: 0 auto;">
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<div
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style="
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display: inline-flex;
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gap: 0.8rem;
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font-size: 1.75rem;
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margin-bottom: 10px;
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margin-left: 220px;
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justify-content: center;
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"
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>
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</div>
|
375 |
-
<div
|
376 |
-
style="
|
377 |
-
display: inline-flex;
|
378 |
-
align-items: center;
|
379 |
-
gap: 0.8rem;
|
380 |
-
font-size: 1.75rem;
|
381 |
-
margin-bottom: 10px;
|
382 |
-
justify-content: center;
|
383 |
-
">
|
384 |
-
<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 15px;">文生图生音乐视频</h1>
|
385 |
-
</div>
|
386 |
-
<div
|
387 |
-
style="
|
388 |
-
display: inline-flex;
|
389 |
-
align-items: center;
|
390 |
-
gap: 0.8rem;
|
391 |
-
font-size: 1.75rem;
|
392 |
-
margin-bottom: 10px;
|
393 |
-
justify-content: center;
|
394 |
-
">
|
395 |
-
<h1 style="font-weight: 900; margin-bottom: 7px;">Text to Image to Music to Video</h1>
|
396 |
-
</div>
|
397 |
-
<p style="margin-bottom: 10px; font-size: 94%">
|
398 |
-
Powered by <a href="https://huggingface.co/spaces/PaddlePaddle/ERNIE-ViLG" target="_blank">ERNIE-ViLG 2.0</a>, <a href="https://huggingface.co/spaces/Mubert/Text-to-Music" target="_blank">Mubert AI</a>, <a href="https://huggingface.co/spaces/pharma/CLIP-Interrogator" target="_blank">CLIP Interrogator</a> and fffiloni's <a href="https://huggingface.co/spaces/fffiloni/img-to-music" target="_blank">Image to Music</a> projects
|
399 |
-
</p>
|
400 |
-
</div>
|
401 |
-
"""
|
402 |
-
)
|
403 |
-
with gr.Group():
|
404 |
-
with gr.Box():
|
405 |
-
with gr.Row().style(mobile_collapse=False, equal_height=True):
|
406 |
-
text = gr.Textbox(
|
407 |
-
label="Prompt",
|
408 |
-
show_label=False,
|
409 |
-
max_lines=1,
|
410 |
-
placeholder="Enter your prompt, multiple languages are supported now.",
|
411 |
-
).style(
|
412 |
-
border=(True, False, True, True),
|
413 |
-
rounded=(True, False, False, True),
|
414 |
-
container=False,
|
415 |
-
)
|
416 |
-
|
417 |
-
btn = gr.Button("Generate image").style(
|
418 |
-
margin=False,
|
419 |
-
rounded=(False, True, True, False),
|
420 |
-
)
|
421 |
-
language_tips_text = gr.Textbox(label="language tips", show_label=False, visible=False, max_lines=1)
|
422 |
-
styles = gr.Dropdown(label="风格(style)", choices=['古风(Ancient Style)', '油画(Oil painting)', '水彩(Watercolor)',
|
423 |
-
'卡通(Cartoon)', '二次元(Anime)', '浮世绘(Ukiyoe)', '蒸汽波艺术(Vaporwave)', 'low poly',
|
424 |
-
'像素风格(Pixel Style)', '概念艺术(Conceptual Art)', '未来主义(Futurism)', '赛博朋克(Cyberpunk)', '写实风格(Realistic style)',
|
425 |
-
'洛丽塔风格(Lolita style)', '巴���克风格(Baroque style)', '超现实主义(Surrealism)', '探索无限(Explore infinity)'], value='探索无限(Explore infinity)', type="index")
|
426 |
-
status_text = gr.Textbox(
|
427 |
-
label="处理状态(Process status)",
|
428 |
-
show_label=True,
|
429 |
-
max_lines=1,
|
430 |
-
interactive=False
|
431 |
-
)
|
432 |
-
|
433 |
-
video_result = gr.Video(type=None, label='Final Merged video')
|
434 |
-
|
435 |
-
trigger_component = gr.Textbox(vaule="", visible=False) # This component is used for triggering inference funtion.
|
436 |
-
translated_language = gr.Textbox(vaule="", visible=False)
|
437 |
-
|
438 |
-
|
439 |
-
ex = gr.Examples(examples=examples, fn=translate_language_example, inputs=[text, styles], outputs=[language_tips_text, status_text, trigger_component, translated_language], cache_examples=False)
|
440 |
-
ex.dataset.headers = [""]
|
441 |
-
|
442 |
-
|
443 |
-
text.submit(translate_language, inputs=[text], outputs=[language_tips_text, status_text, trigger_component, translated_language])
|
444 |
-
btn.click(translate_language, inputs=[text], outputs=[language_tips_text, status_text, trigger_component, translated_language])
|
445 |
-
trigger_component.change(fn=get_result, inputs=[translated_language, styles], outputs=[video_result, status_text])
|
446 |
-
|
447 |
-
|
448 |
-
gr.Markdown(
|
449 |
-
"""
|
450 |
-
### <u>[Prompt Tutorial 公式教程...](https://github.com/PaddlePaddle/PaddleHub/blob/develop/modules/image/text_to_image/ernie_vilg/README.md#四-prompt-指南)([Explore more...](https://github.com/PaddlePaddle/PaddleHub/blob/develop/modules/image/text_to_image/ernie_vilg/README.md#四-prompt-指南))</u>
|
451 |
-
"""
|
452 |
-
)
|
453 |
-
gr.Markdown(
|
454 |
-
"""
|
455 |
-
Space by [@DGSpitzer](https://www.youtube.com/channel/UCzzsYBF4qwtMwJaPJZ5SuPg)❤️ [@大谷的游戏创作小屋](https://space.bilibili.com/176003)
|
456 |
-
[![Twitter Follow](https://img.shields.io/twitter/follow/DGSpitzer?label=%40DGSpitzer&style=social)](https://twitter.com/DGSpitzer)
|
457 |
-
![visitors](https://visitor-badge.glitch.me/badge?page_id=dgspitzer_txt2img2video)
|
458 |
-
"""
|
459 |
-
)
|
460 |
-
gr.HTML('''
|
461 |
-
<div class="footer">
|
462 |
-
<p>Model:<a href="https://github.com/PaddlePaddle/PaddleHub" style="text-decoration: underline;" target="_blank">PaddleHub</a> and <a href="https://wenxin.baidu.com/ernie-vilg" style="text-decoration: underline;" target="_blank">文心大模型</a>
|
463 |
-
</p>
|
464 |
-
</div>
|
465 |
-
''')
|
466 |
-
|
467 |
-
block.queue(concurrency_count=128).launch()
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