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import gradio as gr
import wikipedia
import numpy as np
import pandas as pd
from os import path
from PIL import Image
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
import matplotlib.pyplot as plt
def wikipediaScrap(article_name, wikipedia_language="en"):
if wikipedia_language:
et_page =" ",""))
title = et_page.title
content = et_page.content
page_url = et_page.url
linked_pages = et_page.links
text = content
# Create and generate a word cloud image:
wordcloud = WordCloud(font_path="HelveticaWorld-Regular.ttf").generate(text)
# Display the generated image:
plt.imshow(wordcloud, interpolation='bilinear')
return content
with gr.Blocks(css="footer {visibility: hidden} #dsd_button {background: purple, color: white}") as demo:
with gr.Row():
inp = gr.Textbox(placeholder="Enter the name of wikipedia article", label="Wikipedia article name")
btn = gr.Button("Start Scraping", elem_id="dsd_button")
with gr.Row():
content = gr.Textbox(label="Content")
with gr.Row():
examples=[["Eiffel Tower"], ["Eiffel tower"]], fn=wikipediaScrap, inputs=[inp],
outputs=[content], cache_examples=True)
interface = gr.Interface(fn=wikipediaScrap, inputs=[inp], outputs=[content])