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app.py

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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:
+        wikipedia.set_lang(wikipedia_language)
+
+    et_page = wikipedia.page(article_name)
+    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')
+    plt.axis("off")
+
+    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")
+        lan = gr.Textbox(placeholder="Enter the language code", label="Language")
+    btn = gr.Button("Start Scraping", elem_id="dsd_button")
+    with gr.Row():
+        content = gr.Textbox(label="Content")
+    with gr.Row():
+        gr.Examples(
+            examples=[["Eiffel Tower"], ["Eiffel tower"]], fn=wikipediaScrap, inputs=[inp],
+            outputs=[content], cache_examples=True)
+
+interface = gr.Interface(fn=wikipediaScrap, inputs=[inp,lan], outputs=[content])
+
+interface.launch(inline=False)

requirements.txt

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+gradio
+wikipedia
+wordcloud