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| import gradio as gr | |
| tts_examples = [ | |
| "I love learning machine learning", | |
| "How do you do?", | |
| ] | |
| scikit_demo = gr.load( | |
| "LennardZuendorf/legalis-scikit", | |
| src="models", | |
| inputs=gr.Textbox(lines=5, max_lines=6, label="Input Text"), | |
| title="scikit-learn" | |
| ) | |
| bert_demo = gr.load( | |
| "LennardZuendorf/legalis-bert", | |
| src="models", | |
| inputs=gr.Textbox(lines=5, max_lines=6, label="Input Text"), | |
| title="bert" | |
| ) | |
| demo = gr.TabbedInterface([scikit_demo, bert_demo], ["BERT Classification", "scikit-learn Classification"]) | |
| if __name__ == "__main__": | |
| demo.launch() | |