Create backup-app.py

backup-app.py

@@ -0,0 +1,46 @@
+import requests
+from bs4 import BeautifulSoup
+import streamlit as st
+import time
+
+urls = ['https://en.wikipedia.org/wiki/Health_care',
+        'https://en.wikipedia.org/wiki/Health_information_on_the_Internet',
+        'https://www.who.int/health-topics/coronavirus#tab=tab_1']
+
+def scrape_wikipedia(url):
+    try:
+        start_time = time.time()
+        response = requests.get(url)
+        end_time = time.time()
+        soup = BeautifulSoup(response.content, 'html.parser')
+        div_element = soup.find('div', {'class': 'div-col columns column-width'})
+        if div_element is not None:
+            articles_list = div_element.find_all('li')
+        else:
+            articles_list = []
+        return {'url': url, 'response_time': end_time - start_time, 'response': response, 'articles': articles_list}
+    except:
+        return {'url': url, 'response_time': None, 'response': None, 'articles': []}
+
+def main():
+    st.title("List of Articles on Health Care")
+
+    data = []
+    for url in urls:
+        st.write(f"Scraping {url}...")
+        scraped_data = scrape_wikipedia(url)
+        st.write(f"Response time: {scraped_data['response_time']}")
+        st.write(scraped_data['response'])
+        for article in scraped_data['articles']:
+            data.append({'url': scraped_data['url'], 'article': article.text})
+
+    st.write('## Dataset')
+    st.dataframe(data)
+
+    st.write('## Grid')
+    st.write('url', 'article')
+    for d in data:
+        st.write(d['url'], d['article'])
+
+if __name__ == '__main__':
+    main()