| import gradio as gr | |
| def process_submit(semantic, zeroshot, keywords_options, abstract): | |
| return f"Test" | |
| semantic_models = ['all-mpnet-base-v2', 'msmarco-distilbert-dot-v5', 'distilbert-base-uncased', 'all-MiniLM-L6-v2', 'all-MiniLM-L12-v2', 'microsoft/mpnet-base'] | |
| zeroshot_models = ['facebook/bart-large-mnli'] | |
| extract_keywords_options = ['TF_IDF', 'Spacy Frequency', 'NLTK Frequency', 'NLTK RAKE'] | |
| with gr.Blocks() as iface: | |
| with gr.Row(): | |
| with gr.Column(scale=7): | |
| with gr.Row(): | |
| cmb_box_1 = gr.Dropdown(choices=semantic_models, label="Select a semantic model", value='all-mpnet-base-v2') | |
| cmb_box_2 = gr.Dropdown(choices=zeroshot_models, label="Select a zeroshot model", value='facebook/bart-large-mnli') | |
| txt_box_1 = gr.Textbox(lines=10, placeholder="Write here the patent abstract...", label="Patent Abstract") | |
| btn_submit = gr.Button("Submit") | |
| with gr.Column(scale=3): | |
| with gr.Row(): | |
| cmb_box_3 = gr.Dropdown(choices=extract_keywords_options, label="Extract keywords method", value='TF_IDF') | |
| output_text = gr.Text(label="Result") | |
| btn_submit.click( | |
| fn=process_submit, | |
| inputs=[cmb_box_1, cmb_box_2, cmb_box_3, txt_box_1], | |
| outputs=output_text | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch(show_api=False) | |