app.py

import gradio as gr
from transformers import pipeline

# Initialize the Hugging Face sentiment-analysis pipeline
nlp = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")


def sentiment_analysis(text):
    result = nlp(text)[0]
    return f"label: {result['label']}, with score: {round(result['score'], 4)}"

# Define example inputs
examples = [
    ['Absolutely love my new lamp from BrightLight Co.! The design is elegant and modern, seamlessly blending into my home decor.'], 
    ['The movie was a great disappointment.'],
    ['Sarah at SeriouslyNutz has awesome parrot toys. My African Grey loves them all!']
]

iface = gr.Interface(fn=sentiment_analysis, 
                     inputs=gr.inputs.Textbox(lines=7, label="Input Text"), # Set the lines to 7 for a larger text box
                     outputs="text",
                     examples=examples) # Add example inputs

iface.launch()