Use semantic arabic model

app.py

@@ -1,7 +1,12 @@
 import gradio as gr
+# Use a pipeline as a high-level helper
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def analyze(message):
+    result = pipe(message)
+    return result
+
+start = gr.Interface(fn=analyze, inputs="text", outputs="text")
+start.launch(debug=True)