Trying out a different code to get Wikipedia Summary

app.py

@@ -4,34 +4,30 @@ import wikipediaapi
 import nltk
 nltk.download('punkt')
 
-def extract_article_summary(url):
-    wiki_wiki = wikipediaapi.Wikipedia('MyProjectName (merlin@example.com)', 'en')
-    page_py = wiki_wiki.page("{url}_(programming_language)")
-    text = page_py.summary[0:60]
-    summarizer = pipeline("summarization", model = "facebook/bart-large-cnn")
-    return summarizer(text)[0]['summary_text']
+def get_wiki_summary(search):
+    wiki_wiki = wikipediaapi.Wikipedia('en')
+    page = wiki_wiki.page(search)
 
-sample_url = [['C++'],
-              ['Java'],
-              ['Matlab']]
+    isExist = page.exists()
+    if not isExist:
+        return isExist, "Not found", "Not found", "Not found", "Not found"
 
-desc =  '''
-        Let Hugging Face models summarize Wikipedia Programing Language articles for you. 
-        Note: Shorter articles generate faster summaries.
-        This summarizer uses bart-large-cnn model by Facebook
-        '''
+    url = page.fullurl
+    tittle = page.title
+    summary = page.summary[0:60]
+    text = page.text
 
-demo = gr.Interface (
-    extract_article_summary, 
-    inputs = gr.Textbox(
-        lines = 2,
-        label = 'URL'
-    ),
-    outputs = 'text',
-    title = 'Wikipedia Programming Language Summarizer',
-    theme = 'huggingface',
-    description = desc,
-    examples=sample_url
-)
+    return isExist, url, tittle, summary, text
 
-demo.launch()
+wiki_summary = gr.Interface(
+    get_wiki_summary,
+    gr.Text(label="Search Wikipedia"),
+    [
+        gr.Text(label="Page exists?"),
+        gr.Text(label="URL"),
+        gr.Text(label="Title"),
+        gr.Text(label="Summary"),
+        gr.Text(label="Text")
+    ]
+)
+wiki_summary.launch()