app.py

import gradio as gr
from kwextractor import KeyWordExtractor

def greet(name):
    return "Hello " + name + "!!"

kw_ex=KeyWordExtractor()


def generate_kws(context,num_kw):
    
    context=context.strip()
    if context:
        try:
            num_kw=int(num_kw)
        except ValueError:
            num_kw=None
        return kw_ex.extract(context, num_kw) or ""
        
        return result
    else:
        raise gr.Error("Please enter text in inputbox!!!!")
        


inputs=gr.Textbox(value=article_value, lines=5, label="Input Context",elem_id="inp_div")
nkws = gr.Textbox(label="Number of keywords to extract",elem_id="inp_div")
outputs=gr.Textbox(label="Generated Keywords",lines=6,elem_id="inp_div")

demo = gr.Interface(
    generate_kws,
    [inputs,nkws],
    outputs,
    title="Keyword Extraction Model",
    css=".gradio-container {background-color: lightgray} #inp_div {background-color: #7FB3D5;}",
    article="""<p style='text-align: center;'>Feel free to give us your <a href="https://www.pragnakalp.com/contact/" target="_blank">feedback</a> on this Keyword Extraction demo.</p>
    """
    
)
demo.launch()