Update app.py

app.py

@@ -1,18 +1,17 @@
-import wikipedia
+import gradio as gr
+from transformers import pipeline
 
-def wikipediaScrap(article_name, wikipedia_language = "en"):
-  if wikipedia_language:
-    wikipedia.set_lang(wikipedia_language)
+classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
 
-  et_page = wikipedia.page(wikipedia_article)
-  title = et_page.title
-  content = et_page.content
-  page_url = et_page.url
-  linked_pages = et_page.links
+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
 
-  return title, page_url, content, "\n". join(linked_pages)
+examples = [["One day I will see the world", "travel, live, die, future"]]
 
-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 = gr.Interface(fn=zeroShotClassification, inputs=["text", "text"], outputs="label", title="Text Classification", examples=examples)
 demo.launch()