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