Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+#This is a pipeline for text classification using the Arabic MARBERT model for news article classification from Hugging Face.
+Clasification = pipeline('text-classification', model='Ammar-alhaj-ali/arabic-MARBERT-news-article-classification')
+#This function will take and input then return the label and the score of that sentence.
+def classification_fun(news_article):
+  results = Clasification(news_article)
+  return results[0]['label'], results[0]['score']
+
+my_model = gr.Interface(
+    fn=classification_fun,
+    inputs=gr.Textbox(label="News Articles", lines=10, placeholder="Enter your Article"),
+    outputs=[gr.Textbox(label="Label of the Article"), gr.Number(label="Confidence Score")],
+)
+
+my_model.launch()