| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment") | |
| def analyze(text): | |
| result = pipe(text) | |
| return result | |
| demo = gr.Interface(fn=analyze, | |
| inputs=[inputs="text", label="input text here"], | |
| outputs="text", | |
| title = "sentiment") | |
| demo.launch(debug=True) |