app.py

import gradio as gr
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment")

def analyze(message):
    result = pipe(message)
    result = result[0]
    label = result['label']
    score = result['score'] * 100
    score = round(score, 2)
    return f"{label}, {score}%"

start = gr.Interface(fn=analyze, inputs="text", outputs="text")
start.launch(debug=True)