app.py

import gradio as gr
from transformers import pipeline

# Initialize the pipeline
classifier = pipeline('text-classification', model='Dc-4nderson/cic-checkin-relevance-classifier')

def predict(text):
    result = classifier(text)
    # result looks like: [{'label': 'relevant', 'score': 0.95}]
    return result[0]

# Create the Gradio interface
demo = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(label="Enter text to classify"),
    outputs=gr.JSON(label="Classification Result"),
    title="CIC Check-in Relevance Classifier"
)

if __name__ == "__main__":
    demo.launch()