app.py

import joblib
import gradio as gr


model = joblib.load("model.pkl")


def get_sentiment(input_text):
    predictions = model.predict_proba([input_text])
    label = {
                  "negative":str(predictions[0][0]),
                  "positive":str(predictions[0][1]),
              }
    return label 


iface = gr.Interface(
    fn=get_sentiment,
    inputs=[gr.Text(text="Sijapendezwa na tabia yake")],
    outputs=[gr.Label(label='Sentiment')],
    title="Swahili Sentiment Analysis using",
    description="Swahili sentiment analysis is based on a Bayesian scikit-learn model"
)
iface.launch(inline=False)