app.py

import gradio as gr
import joblib  
def predict_sentiment(text):
    model = joblib.load("pipeline_model.joblib")
    prediction = model.predict([text])
    if prediction[0] == 1:
        return "This sounds negative."
    else:
        return "This sounds positive."
    #return prediction


iface = gr.Interface(
    fn=predict_sentiment,  
    inputs=gr.Textbox(placeholder="Enter text here", label="A demonstration model for akshar. Write a negative or positive paragraph below."),   # Text input box
    outputs=gr.Textbox(),  
    live=True
)

iface.launch(share = True)