app.py

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)