# app.py
import gradio as gr
from transformers import pipeline

# Load your model
print("⏳ Loading model...")
classifier = pipeline("sentiment-analysis", model="jackenmail/sentiment-analysis")
print("✅ Model ready!")

def get_sentiment(text):
    if not text.strip():
        return "⚠️ Please enter some text"

    result = classifier(text)
    label  = result[0]["label"]
    score  = round(result[0]["score"] * 100, 2)
    emoji  = "😊" if label == "POSITIVE" else "😞"
    return f"{emoji} {label} ({score}% confidence)"

# Gradio UI
demo = gr.Interface(
    fn          = get_sentiment,
    inputs      = gr.Textbox(placeholder="Enter text here...", label="Input Text"),
    outputs     = gr.Textbox(label="Sentiment Result"),
    title       = "🎯 Sentiment Analysis",
    description = "Powered by jackenmail/sentiment-analysis",
    examples    = [
        ["I love this product!"],
        ["This is absolutely terrible."],
        ["Best purchase I ever made!"],
        ["I hate this, waste of money."]
    ]
)

demo.launch()