# import matplotlib.pyplot as plt import gradio as gr # import paddlehub as hub # ernie_zeus = hub.Module(name='ernie_zeus') def inference(task: str, text: str, min_dec_len: int = 2, seq_len: int = 512, topp: float = 0.9, penalty_score: float = 1.0): return "success" title = "ERNIE-Zeus" description = "ERNIE-Zeus model, which supports Chinese text generates task." css = """ .gradio-container { font-family: 'IBM Plex Sans', sans-serif; } .gr-button { color: white; border-color: black; background: black; } input[type='range'] { accent-color: black; } .dark input[type='range'] { accent-color: #dfdfdf; } .container { max-width: 730px; margin: auto; padding-top: 1.5rem; } #gallery { min-height: 22rem; margin-bottom: 15px; margin-left: auto; margin-right: auto; border-bottom-right-radius: .5rem !important; border-bottom-left-radius: .5rem !important; } #gallery>div>.h-full { min-height: 20rem; } .details:hover { text-decoration: underline; } .gr-button { white-space: nowrap; } .gr-button:focus { border-color: rgb(147 197 253 / var(--tw-border-opacity)); outline: none; box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); --tw-border-opacity: 1; --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); --tw-ring-opacity: .5; } .footer { margin-bottom: 45px; margin-top: 35px; text-align: center; border-bottom: 1px solid #e5e5e5; } .footer>p { font-size: .8rem; display: inline-block; padding: 0 10px; transform: translateY(10px); background: white; } .dark .footer { border-color: #303030; } .dark .footer>p { background: #0b0f19; } .prompt h4{ margin: 1.25em 0 .25em 0; font-weight: bold; font-size: 115%; } """ block = gr.Blocks(css=css) examples = [ [ 'text_summarization', '在芬兰、瑞典提交“入约”申请近一个月来,北约成员国内部尚未对此达成一致意见。与此同时,俄罗斯方面也多次对北约“第六轮扩张”发出警告。据北约官网显示,北约秘书长斯托尔滕贝格将于本月12日至13日出访瑞典和芬兰,并将分别与两国领导人进行会晤。', 4, 512, 0.0, 1.0 ], [ 'copywriting_generation', '芍药香氛的沐浴乳', 32, 512, 0.9, 1.2 ], [ 'novel_continuation', '昆仑山可以说是天下龙脉的根源,所有的山脉都可以看作是昆仑的分支。这些分出来的枝枝杈杈,都可以看作是一条条独立的龙脉。', 2, 512, 0.9, 1.2 ], [ 'answer_generation', '杜鹃花怎么养?', 2, 512, 0.9, 1.2 ], [ 'couplet_continuation', '天增岁月人增寿', 2, 512, 0.9, 1.0 ], [ 'composition_generation', '诚以养德,信以修身', 128, 512, 0.9, 1.2 ], [ 'text_cloze', '她有着一双[MASK]的眼眸。', 1, 512, 0.9, 1.0 ], ] with block: gr.HTML( """
Paddlehub

ERNIE-Zeus Demo

ERNIE-Zeus is a state-of-the-art Chinese text generates model.

""" ) with gr.Group(): with gr.Box(): with gr.Row().style(mobile_collapse=False, equal_height=True): text = gr.Textbox( label="input_text", show_label=False, max_lines=1, placeholder="Enter your Chinese prompt", ).style( border=(True, False, True, True), rounded=(True, False, False, True), container=False, ) btn = gr.Button("Generate text").style( margin=False, rounded=(False, True, True, False), ) task = gr.Dropdown(label="task", choices=[ 'text_summarization', 'copywriting_generation', 'novel_continuation', 'answer_generation', 'couplet_continuation', 'composition_generation', 'text_cloze' ], value='text_summarization') min_dec_len = gr.Slider(minimum=1, maximum=511, value=1, label="min_dec_len", step=1, interactive=True) seq_len = gr.Slider(minimum=2, maximum=512, value=128, label="seq_len", step=1, interactive=True) topp = gr.Slider(minimum=0.0, maximum=1.0, value=1.0, label="topp", step=0.01, interactive=True) penalty_score = gr.Slider(minimum=1.0, maximum=2.0, value=1.0, label="topp", step=0.01, interactive=True) text_gen = gr.Text(label="generated_text") ex = gr.Examples(examples=examples, fn=inference, inputs=[ task, text, min_dec_len, seq_len, topp, penalty_score], outputs=text_gen, cache_examples=False) text.submit(inference, inputs=[task, text, min_dec_len, seq_len, topp, penalty_score], outputs=text_gen) btn.click(inference, inputs=[task, text, min_dec_len, seq_len, topp, penalty_score], outputs=text_gen) gr.HTML( """ """ ) block.queue(max_size=100000, concurrency_count=100000).launch()