import gradio as gr
from transformers import pipeline

sentiment_analyzer = pipeline("sentiment-analysis", model="nlptown/bert-base-multilingual-uncased-sentiment")

def analyze_sentiment(text):
    result = sentiment_analyzer(text)[0]
    score = result['label']
    return score

interface = gr.Interface(
    fn=analyze_sentiment,
    inputs=[
        gr.Textbox(label="Enter your text here", placeholder="Type a sentence or paragraph...", lines=5),
    ],
    outputs=gr.Label(label="Predicted Sentiment (1-5 stars)"),
    examples=[
        ["I love this product! It's amazing!"],
        ["This was the worst experience I've ever had."],
        ["The movie was okay, not great but not bad either."],
        ["Absolutely fantastic! I would recommend it to everyone."],
        ["I'm very disappointed with the customer service."],
        ["The concert was fantastic, I had an amazing time!"],
        ["I regret buying this product, it's terrible."]
    ],
    title="Sentiment Analysis App",
    description="This app analyzes the sentiment of the text you provide, showing a score from 1 to 5 stars, where 1 is negative and 5 is positive."
)

interface.launch()