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e513ac4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | import gradio as gr
import joblib
# Load model dan CountVectorizer
model = joblib.load('sentiment_model.pkl')
vectorizer = joblib.load('count_vectorizer.pkl')
# Fungsi untuk melakukan prediksi sentimen
def predict_sentiment(comment):
comment_vec = vectorizer.transform([comment])
prediction = model.predict(comment_vec)[0]
return prediction
# Tampilan antarmuka Gradio
iface = gr.Interface(
fn=predict_sentiment,
inputs="textbox",
outputs="label",
title="Instagram Comment Sentiment Analysis",
description="Enter an Instagram comment to predict its sentiment (Positive or Negative)."
)
iface.launch() |