Update app.py

app.py

@@ -1,17 +1,18 @@
-import gradio as gr
-from transformers import pipeline
+import wikipedia
 
-classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
+def wikipediaScrap(article_name, wikipedia_language = "en"):
+  if wikipedia_language:
+    wikipedia.set_lang(wikipedia_language)
 
-def zeroShotClassification(text_input, candidate_labels):
-  labels = [label.strip(' ') for label in candidate_labels.split(',')]
-  output = {}
-  prediction = classifier(text_input, labels)
-  for i in range(len(prediction['labels'])):
-    output[prediction['labels'][i]] = prediction['scores'][i]
-  return output
+  et_page = wikipedia.page(wikipedia_article)
+  title = et_page.title
+  content = et_page.content
+  page_url = et_page.url
+  linked_pages = et_page.links
 
-examples = [["One day I will see the world", "travel, live, die, future"]]
+  return title, page_url, content, "\n". join(linked_pages)
 
-demo = gr.Interface(fn=zeroShotClassification, inputs=["text", "text"], outputs="label", title="Text Classification", examples=examples)
+examples = [["Eiffel Tower", "en"], ["Eiffel tower", 'ur']]
+
+demo = gr.Interface(fn=wikipediaScrap, inputs=["text", "text"], outputs=["text", "text", "text", "text"], title="Wikipedia Scrap", examples=examples)
 demo.launch()