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基于文心一言的意查词应用

释放双眼，带上耳机，听听看~！

一、基于文心一言的意查词应用

可以通过描述的意思来查找名词，包括汉语同意、近义词，汉语转英语的同意、近义词，英语同义、近义词，英语转汉语同意、近义词语等。基于最先进的文心一言4.0大模型实现。

基于文心一言的意查词应用

1.创意思路

根据词的描述，找到对应的词子。

2.例子

例如输入： 坚贞不渝

输出如下：

The Chinese phrase “坚贞不渝” (jiān zhēn bù yú) means “steadfast and unwavering.” Here are 20 synonyms in English:

    1. Loyal
    1. Faithful
    1. Constant
    1. Steadfast
    1. Unwavering
    1. Resolute
    1. Firm
    1. Committed
    1. Dedicated
    1. Tenacious
    1. Determined
    1. Strong-willed
    1. Resilient
    1. Persevering
    1. Gritty
    1. Dogged
    1. Indomitable
    1. Unyielding
    1. Inflexible
    1. Obstinate

Note: While these words share similar meanings, their connotations and nuances may differ slightly depending on the context in which they are used.

3.应用界面

基于文心一言的意查词应用

二、gradio部署代码

1.安装erniebot包

import os
os.system("pip install -U erniebot -i https://mirrors.aliyun.com/pypi/simple/")

2.导入erniebot、gradio

当然也可以用 qianfan 包了。

import gradio as gr
import erniebot

3.预测

def predict(content, state):
    erniebot.ak = "XXXXXXXXXXXXXXXXXXXXXXx"
    erniebot.sk = "XXXXXXXXXXXXXXXXXXXXXXx"
    print(state)
    if state == "汉":
        message = f"你是一名非常著名的语文老师，请给出【{content}】的同义词、近义词 ，不少于20条"
    elif state == "汉英":
        message = f"You are a great chinese-english translator, please translate the following words【{content}】, and give his synonyms, synonyms, no less than 20"
    elif state == "English":
        message = f"You are a very good English teacher, please give [{content}] synonyms, synonyms, no less than 20"
    elif state == "English-Chinese":
        message = f"你是一名非常著名的英语-汉语翻译家，请给出【{content}】的中文同义词、近义词，不少于20条"

    response = erniebot.ChatCompletion.create(model="ernie-bot-4", messages=[{"role": "user",
                                                                            "content": message}])
    # print(response.result)
    return response.result

4.撰写UI

with gr.Blocks(theme=gr.themes.Glass()) as demo:

5.应用介绍

    with gr.Row():
        gr.HTML(
            """<h1 align="center">词意查词</h1>""")
    with gr.Row():
        gr.HTML(
            """<img align="center" src='https://ai-studio-static-online.cdn.bcebos.com/9f4c4e3836954417b874c22acd8e8139c916709fb2e5414e9d6d96204500c035' width='100%'> <br>""")
    with gr.Row():
        gr.HTML(
            """<h3 align="center">可以通过描述的意思来查找词语。基于最先进的文心一言大模型实现。</h3>""")

6.各功能区、以及按钮事件

    with gr.Row():
        with gr.Tab("汉语反向词典") as chinese_tab:
            state = gr.Textbox(label="描述", interactive=True,
                               value="汉", visible=False)
            with gr.Row():
                input_text = gr.Textbox(label="描述", interactive=True,
                                        value="请输入描述，或者直接搜索，或者使用输入例子")
            with gr.Row():
                btn1 = gr.Button("🚀一键生成🚀")
                btn2 = gr.Button("✨一键清理✨")
            with gr.Row():
                output = gr.Textbox(lines=15, label='输出')
            btn1.click(fn=predict, inputs=[input_text,state], outputs=output)
            btn2.click(lambda _: (None), inputs=btn2, outputs=[input_text])
        with gr.Tab("汉英反向词典") as english_tab:
            state = gr.Textbox(label="描述", interactive=True,
                               value="汉英", visible=False)
            with gr.Row():
                input_text = gr.Textbox(label="描述", interactive=True,
                                        value="请输入描述，或者直接搜索，或者使用输入例子")
            with gr.Row():
                btn3 = gr.Button("🚀一键生成🚀")
                btn4 = gr.Button("✨一键清理✨")
            with gr.Row():
                output = gr.Textbox(lines=15, label='输出')
            btn3.click(fn=predict, inputs=[input_text, state], outputs=output)
            btn4.click(lambda _: (None), inputs=btn4, outputs=[input_text])
        with gr.Tab("English Reverse Dictionary") as chinese_english_tab:
            state = gr.Textbox(label="描述", interactive=True,
                               value="English", visible=False)
            with gr.Row():
                input_text = gr.Textbox(label="描述", interactive=True,
                                        value="请输入描述，或者直接搜索，或者使用输入例子")
            with gr.Row():
                btn5 = gr.Button("🚀一键生成🚀")
                btn6 = gr.Button("✨一键清理✨")
            with gr.Row():
                output = gr.Textbox(lines=15, label='输出')
            btn5.click(fn=predict, inputs=[input_text, state], outputs=output)
            btn6.click(lambda _: (None), inputs=btn6, outputs=[input_text])
        with gr.Tab("English-Chinese Reverse Dictionary") as english_chinese_tab:
            state = gr.Textbox(label="描述", interactive=True,
                               value="English-Chinese", visible=False)
            with gr.Row():
                input_text = gr.Textbox(label="描述", interactive=True,
                                        value="请输入描述，或者直接搜索，或者使用输入例子")
            with gr.Row():
                btn7 = gr.Button("🚀一键生成🚀")
                btn8 = gr.Button("✨一键清理✨")
            with gr.Row():
                output = gr.Textbox(lines=15, label='输出')
            btn7.click(fn=predict, inputs=[input_text, state], outputs=output)
            btn8.click(lambda _: (None), inputs=btn8, outputs=[input_text])
    demo.launch()

7.启动应用

demo.launch()

三、完整代码


import os
os.system("pip install -U erniebot -i https://mirrors.aliyun.com/pypi/simple/")


import gradio as gr
import erniebot


def predict(content, state):
    erniebot.ak = "XXXXXXXXXXXXXXXXXXXXXXXX"
    erniebot.sk = "XXXXXXXXXXXXXXXXXXXXXXXX"
    print(state)
    if state == "汉":
        message = f"你是一名非常著名的语文老师，请给出【{content}】的同义词、近义词 ，不少于20条"
    elif state == "汉英":
        message = f"You are a great chinese-english translator, please translate the following words【{content}】, and give his synonyms, synonyms, no less than 20"
    elif state == "English":
        message = f"You are a very good English teacher, please give [{content}] synonyms, synonyms, no less than 20"
    elif state == "English-Chinese":
        message = f"你是一名非常著名的英语-汉语翻译家，请给出【{content}】的中文同义词、近义词，不少于20条"

    response = erniebot.ChatCompletion.create(model="ernie-bot-4", messages=[{"role": "user",
                                                                            "content": message}])
    # print(response.result)
    return response.result


with gr.Blocks(theme=gr.themes.Glass()) as demo:
    with gr.Row():
        gr.HTML(
            """<h1 align="center">词意查词</h1>""")
    with gr.Row():
        gr.HTML(
            """<img align="center" src='https://ai-studio-static-online.cdn.bcebos.com/9f4c4e3836954417b874c22acd8e8139c916709fb2e5414e9d6d96204500c035' width='100%'> <br>""")
    with gr.Row():
        gr.HTML(
            """<h3 align="center">可以通过描述的意思来查找词语。基于最先进的文心一言大模型实现。</h3>""")
    with gr.Row():
        with gr.Tab("汉语反向词典") as chinese_tab:
            state = gr.Textbox(label="描述", interactive=True,
                               value="汉", visible=False)
            with gr.Row():
                input_text = gr.Textbox(label="描述", interactive=True,
                                        value="请输入描述，或者直接搜索，或者使用输入例子")
            with gr.Row():
                btn1 = gr.Button("🚀一键生成🚀")
                btn2 = gr.Button("✨一键清理✨")
            with gr.Row():
                output = gr.Textbox(lines=15, label='输出')
            btn1.click(fn=predict, inputs=[input_text,state], outputs=output)
            btn2.click(lambda _: (None), inputs=btn2, outputs=[input_text])
        with gr.Tab("汉英反向词典") as english_tab:
            state = gr.Textbox(label="描述", interactive=True,
                               value="汉英", visible=False)
            with gr.Row():
                input_text = gr.Textbox(label="描述", interactive=True,
                                        value="请输入描述，或者直接搜索，或者使用输入例子")
            with gr.Row():
                btn3 = gr.Button("🚀一键生成🚀")
                btn4 = gr.Button("✨一键清理✨")
            with gr.Row():
                output = gr.Textbox(lines=15, label='输出')
            btn3.click(fn=predict, inputs=[input_text, state], outputs=output)
            btn4.click(lambda _: (None), inputs=btn4, outputs=[input_text])
        with gr.Tab("English Reverse Dictionary") as chinese_english_tab:
            state = gr.Textbox(label="描述", interactive=True,
                               value="English", visible=False)
            with gr.Row():
                input_text = gr.Textbox(label="描述", interactive=True,
                                        value="请输入描述，或者直接搜索，或者使用输入例子")
            with gr.Row():
                btn5 = gr.Button("🚀一键生成🚀")
                btn6 = gr.Button("✨一键清理✨")
            with gr.Row():
                output = gr.Textbox(lines=15, label='输出')
            btn5.click(fn=predict, inputs=[input_text, state], outputs=output)
            btn6.click(lambda _: (None), inputs=btn6, outputs=[input_text])
        with gr.Tab("English-Chinese Reverse Dictionary") as english_chinese_tab:
            state = gr.Textbox(label="描述", interactive=True,
                               value="English-Chinese", visible=False)
            with gr.Row():
                input_text = gr.Textbox(label="描述", interactive=True,
                                        value="请输入描述，或者直接搜索，或者使用输入例子")
            with gr.Row():
                btn7 = gr.Button("🚀一键生成🚀")
                btn8 = gr.Button("✨一键清理✨")
            with gr.Row():
                output = gr.Textbox(lines=15, label='输出')
            btn7.click(fn=predict, inputs=[input_text, state], outputs=output)
            btn8.click(lambda _: (None), inputs=btn8, outputs=[input_text])
    demo.launch()
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