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| import gradio as gr | |
| import transformers as tf | |
| model = tf.saved_model.load('..\arabert_pretrained') | |
| def sentiment_analysis(text): | |
| prediction = model.predict(text) | |
| return prediction | |
| iface = gr.Interface(fn=sentiment_analysis, inputs="text", outputs="text") | |
| iface.launch() |