app.py

import gradio as gr
import joblib

model = joblib.load("model.joblib")
tfidf = joblib.load("tfidf_vectorizer.joblib")

def predict_sentiment(text):
    vector = tfidf.transform([text])
    prediction = model.predict(vector)[0]
    return "Positive ✅" if prediction == 1 else "Negative ❌"

gr.Interface(
    fn=predict_sentiment,
    inputs="text",
    outputs="text"
).launch()