app.py

from transformers import pipeline
import gradio as gr

print("Loading model...")

classifier = pipeline(
    "text-classification",
    model="MTE313/NEXARA_Model"
)

print("Model loaded")

def predict(text):
    return classifier(text)

print("Creating interface")

demo = gr.Interface(
    fn=predict,
    inputs="text",
    outputs="json"
)

print("Launching")

demo.launch(
    server_name="0.0.0.0",
    server_port=7860
)