Create app.py

app.py

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+from transformers import pipeline
+
+import torch
+import gradio as gr
+
+
+
+def sentiment_predict(sentences):
+    pipe = pipeline("sentiment-analysis", model=repository_id, device=0, return_all_scores=True)
+
+    return pipe(sentences)
+
+css_code='body{background-image:url("https://media.istockphoto.com/id/1256252051/vector/people-using-online-translation-app.jpg?s=612x612&w=0&k=20&c=aa6ykHXnSwqKu31fFR6r6Y1bYMS5FMAU9yHqwwylA94=");}'
+
+demo = gr.Interface(
+    fn=sentiment_predict,
+    inputs=
+        gr.Textbox(label="sentence", placeholder=" Enter the sentence "),
+        
+    
+    outputs=[gr.Textbox(label="entity name")],
+    title="Arabic Named Entity Recognition",
+    description= "This is Arabic Named Entity Recognition System, it takes an arabian sentence as input and returns every entity name within it",
+    css = css_code
+)
+demo.launch()