app.py

import gradio as gr
from setfit import AbsaModel

# Load the ABSA model (assuming indo-setfit-absa-bert-base-restaurants is the aspect extraction model)
model = AbsaModel.from_pretrained(
    "firqaaa/indo-setfit-absa-bert-base-restaurants-aspect",
    "firqaaa/indo-setfit-absa-bert-base-restaurants-polarity",
    spacy_model="id_core_news_trf",
)

def analyze_text(text):
  """
  Analyzes the input text using the ABSA model and returns aspects and sentiment.

  Args:
      text: The text to be analyzed.

  Returns:
      A dictionary containing aspects and sentiment.
  """
  aspects, sentiments = model.predict(text)
  return {"Aspek": aspects, "Sentimen": sentiments}

description = "Analisa Aspek dan Sentimen Review Restoran"
title = "Analisa Review Restoran Anda"
examples = [["Makanannya enak, tapi pelayanannya lambat."]]

interface = gr.Interface(
    fn=analyze_text,
    inputs="textbox",
    outputs="dict",
    interpretation="text",
    description=description,
    title=title,
    examples=examples
)

interface.launch()