app.py

import gradio as gr

def greet(name):
    if name =="earth quake":
        return "" + name + " is a disaster"
    elif name =="game":
        return "" + name + " is not a disaster"
    elif name =="heavy rain":
        return "" + name + " is a disaster!"
    else:
        return "" + name + " is a disaster"
     



title = "DISASTER ANALYSIS OF TWEETS"
desc = "A rapid NLP model for evaluating crisis-related tweets, aiding quick response and situational awareness"

demo = gr.Interface(fn=greet, inputs= gr.Textbox(label="TWEET", placeholder="PLEASE ENTER YOUR TWEET HERE"),
    outputs = gr.Textbox(label="PREDICTED OUTPUT", placeholder="DISASTER/NOT"),title=title, 
                description=desc)
    
demo.launch(inline=False)