app.py

import gradio as gr
import joblib

# Load model and vectorizer
model = joblib.load("sentiment_model.pkl")
vectorizer = joblib.load("vectorizer.pkl")

# Prediction function
def predict_sentiment(text):
    text_vector = vectorizer.transform([text])
    prediction = model.predict(text_vector)[0]
    proba = model.predict_proba(text_vector)[0]
    
    sentiment = "Positive" if prediction == 1 else "Negative"
    return {
        "Sentiment": sentiment,
        "Positive Probability": round(proba[1], 2),
        "Negative Probability": round(proba[0], 2),
    }

# Gradio UI
iface = gr.Interface(
    fn=predict_sentiment,
    inputs=gr.Textbox(label="Enter your review or message"),
    outputs=[
        gr.Label(label="Sentiment"),
        gr.Label(label="Positive Probability"),
        gr.Label(label="Negative Probability"),
    ],
    title="Sentiment Analysis",
    description="Enter a sentence to check if it's Positive or Negative.",
)

iface.launch()