本文主要是介绍Gradio 案例——将文本文件转为词云图,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!
文章目录
- Gradio 案例——将文本文件转为词云图
- 界面截图
- 依赖安装
- 项目目录结构
- 代码
Gradio 案例——将文本文件转为词云图
- 利用 word_cloud 库,将文本文件转为词云图
- 更完整、丰富的示例项目见 GitHub - AlionSSS/wordcloud-webui: The web UI for word_cloud(text to word cloud picture converter)
界面截图
依赖安装
- 新建一个虚拟环境 Python 3.9.16
- 依赖
$ pip install gradio==4.29 -i "https://pypi.doubanio.com/simple/"
$ pip install wordcloud==1.9.3 -i "https://pypi.doubanio.com/simple/"
$ pip install jieba==0.42.1 -i "https://pypi.doubanio.com/simple/"
项目目录结构
wordcloud-webui # 目录
--/resources # 资源目录
--/consts.py # py文件,常量
--/gradio_interfaces.py # py文件,Gradio视图
--/jieba_util.py # py文件,工具库文件
--/lib_word_cloud.py # py文件,工具库文件
--/main.py # py文件,入口
代码
- main.py
from gradio_interfaces import ifaceif __name__ == "__main__":iface.launch()
- lib_word_cloud.py
from wordcloud import WordCloud, ImageColorGenerator
import numpy as np
from PIL import Imagefrom consts import *def text2wordcount_normal(text: str,background_color: str = "white",margin = 2,min_font_size = 4,max_font_size = 200,font_path = None,width: int = 400,height: int = 200,
):if not background_color or "" == str(background_color).strip():background_color = "white"if not min_font_size or min_font_size < 1:min_font_size = 4if not max_font_size or max_font_size < 4:max_font_size = 200 if not font_path or "" == str(font_path).strip():font_path = DEFAULT_FONT_PATHif not width or width < 1:width = 400if not height or height < 1:height = 200 # Generate a word cloud imagewordcloud = WordCloud(font_path=font_path,width=width, height=height, background_color=background_color, max_words=2000, margin=margin, min_font_size=min_font_size, max_font_size=max_font_size, random_state=42).generate(text)return wordcloud.to_image()def text2wordcount_mask(text: str,background_color: str = "white",margin = 2,min_font_size = 4,max_font_size = 200,font_path = None,mask_image = None,mask_color = None,contour_width=3,contour_color="steelblue",
):if not background_color or "" == str(background_color).strip():background_color = "white"if not min_font_size or min_font_size < 1:min_font_size = 4if not max_font_size or max_font_size < 4:max_font_size = 200 if not font_path or "" == str(font_path).strip():font_path = DEFAULT_FONT_PATHif not contour_width or contour_width < 0:contour_width = 3 if not contour_color or "" == str(contour_color).strip():contour_color = "steelblue"# mask_colorif mask_color is not None:image_colors = ImageColorGenerator(mask_color, True)else:image_colors = ImageColorGenerator(mask_image, True)# Generate a word cloud imagewordcloud = WordCloud(font_path=font_path,mask=mask_image,background_color=background_color,color_func=image_colors,contour_width=contour_width,contour_color=contour_color,max_words=2000, margin=margin, min_font_size=min_font_size, max_font_size=max_font_size, random_state=42).generate(text)return wordcloud.to_image()
- jieba_util.py
import jieba
# jieba.enable_parallel(4)from consts import *# The function for processing text with Jieba
def jieba_processing_txt(text, userdict_list=['阿Q', '孔乙己', '单四嫂子']):if userdict_list is not None:for word in userdict_list:jieba.add_word(word)mywordlist = []seg_list = jieba.cut(text, cut_all=False)liststr = "/ ".join(seg_list)with open(STOPWORDS_PATH, encoding='utf-8') as f_stop:f_stop_text = f_stop.read()f_stop_seg_list = f_stop_text.splitlines()for myword in liststr.split('/'):if not (myword.strip() in f_stop_seg_list) and len(myword.strip()) > 1:mywordlist.append(myword)return ' '.join(mywordlist)
- gradio_interfaces.py
import gradio as grimport lib_word_cloud
import jieba_utilfrom consts import *def service_text2wc(text_file,text_lang,text_dict: str,background_color,margin,max_font_size,min_font_size,font_file,width,height,mask_image,mask_color,contour_width,contour_color,
):if not text_file:gr.Warning(f"请传入正确的文本文件!")returnif margin < 0 :gr.Warning(f"字体间隔配置不合法!")returnif min_font_size < 0 or max_font_size < 0 or min_font_size > max_font_size:gr.Warning(f"字体大小配置不合法!")returntry:with open(file=text_file.name, encoding="utf-8") as file:text = file.read()if text_lang == '中文':gr.Info(f"选择了中文,将使用Jieba库解析文本!")userdict_list = []if text_dict is not None:# userdict_list = map(lambda w: w.strip(), text_dict.split(", "))userdict_list = [w.strip() for w in text_dict.split(",")]text = jieba_util.jieba_processing_txt(text, userdict_list)font_path = font_file.name if font_file else Noneif mask_image is not None:return lib_word_cloud.text2wordcount_mask(text,background_color,margin,min_font_size,max_font_size,font_path,mask_image,mask_color,contour_width,contour_color,)else:return lib_word_cloud.text2wordcount_normal(text, background_color, margin,min_font_size,max_font_size,font_path, width, height)except Exception as e:print(e)raise gr.Error("文本转词云图时,发生异常:" + str(e))js = """
function createGradioAnimation() {var container = document.createElement('div');container.id = 'gradio-animation';container.style.fontSize = '2em';container.style.fontWeight = 'bold';container.style.textAlign = 'center';container.style.marginBottom = '20px';var text = '欢迎使用“词云转换器”!';for (var i = 0; i < text.length; i++) {(function(i){setTimeout(function(){var letter = document.createElement('span');letter.style.opacity = '0';letter.style.transition = 'opacity 0.5s';letter.innerText = text[i];container.appendChild(letter);setTimeout(function() {letter.style.opacity = '1';}, 50);}, i * 200);})(i);}var gradioContainer = document.querySelector('.gradio-container');gradioContainer.insertBefore(container, gradioContainer.firstChild);return 'Animation created';
}
"""with gr.Blocks(title="词云转换器", js=js) as iface:with gr.Row():with gr.Column():with gr.Group():with gr.Row():input_text_file = gr.File(label="待处理的文本文件(必填)")with gr.Column():gr.Label(label="Tips", value="请传入正常可读的文本文件,如以.txt结尾的文档", color="#fee2e2")gr.File(value=EXAMPLE_TEXT_FILE, label="文本文件的样例")input_text_lang = gr.Radio(label="文本语言模式", choices=["中文", "英文"], value="中文")input_text_dict = gr.Textbox(label="自定义分词词典(可选)", info="中文模式使用,多个词之间用英文逗号分隔,例如'阿Q, 孔乙己, 单四嫂子'")with gr.Tab("普通模式"):with gr.Row():input_width = gr.Number(value=400, label="生成图像的宽", minimum=1)input_height = gr.Number(value=200, label="生成图像的高", minimum=1)gr.Label(label="Tips", value="使用该模式时,记得清理掉“Mask模式”下的“Mask图像”", color="#fee2e2")with gr.Tab("Mask模式"):with gr.Row():input_contour_width = gr.Number(value=3, label="轮廓线的粗细", minimum=0)input_contour_color = gr.Textbox(value="steelblue", label="轮廓线的颜色")with gr.Row():input_mask_image = gr.Image(label="Mask图像(决定词云的形状、颜色、宽高)")input_mask_color = gr.Image(label="若传入该图,则词云的颜色由该图决定")# gr.Image(value=EXAMPLE_MASK_IMAGE_PATH, label="Mask图像的样例", interactive=False)gr.Gallery(value=[EXAMPLE_MASK_IMAGE_PATH, EXAMPLE_MASK_IMAGE_PATH, EXAMPLE_MASK_IMAGE_PATH], label="Mask图像的样例", interactive=False)with gr.Column():with gr.Group():with gr.Row():with gr.Group():input_bg_color = gr.Textbox(value="white", label="词云图的背景色(默认为'white')")input_margin = gr.Number(value=2, label="字体间隔(默认为'2')", minimum=0)with gr.Row():input_min_font_size = gr.Number(value=4, label="字体大小-最小值", minimum=1)input_max_font_size = gr.Number(value=200, label="字体大小-最大值", minimum=4) input_font_file = gr.File(label="词云图的字体文件(可选,如otf文件)")format_radio = gr.Radio(choices=["png", "jpeg", "webp", "bmp", "tiff"], label="词云图像格式", value="png")submit_button = gr.Button("开始处理", variant="primary")output_image = gr.Image(label="词云图", format="png")def fix_format(x):output_image.format = x return Noneformat_radio.change(fn=fix_format, inputs=format_radio)submit_button.click(fn=service_text2wc,inputs=[input_text_file,input_text_lang,input_text_dict,input_bg_color,input_margin,input_max_font_size,input_min_font_size,input_font_file,input_width,input_height,input_mask_image,input_mask_color,input_contour_width,input_contour_color,],outputs=output_image,)
- consts.py,记得修改下下面文件的地址,和resource目录对应
# 样例文本
EXAMPLE_TEXT_FILE = r".\wordcloud-webui\resources\CalltoArms.txt"
# MASK图像样例
EXAMPLE_MASK_IMAGE_PATH = r".\wordcloud-webui\resources\parrot_mask.png "
# 分词器的 stop word 库
STOPWORDS_PATH = r".\wordcloud-webui\resources\stopwords_cn_en.txt"
# 词云图的默认字体
DEFAULT_FONT_PATH = r".\wordcloud-webui\resources\SourceHanSerifK-Light.otf"
- resources 目录
- parrot_mask.png
- CalltoArms.txt https://github.com/amueller/word_cloud/blob/main/examples/wc_cn/CalltoArms.txt
- SourceHanSerifK-Light.otf https://github.com/amueller/word_cloud/blob/main/examples/fonts/SourceHanSerif/SourceHanSerifK-Light.otf
- stopwords_cn_en.txt https://github.com/amueller/word_cloud/blob/main/examples/wc_cn/stopwords_cn_en.txt
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