app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSequenceClassification

# Load model and tokenizer
model_name = "castorini/afriberta_large"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

# Define prediction function
def predict(text):
    inputs = tokenizer(text, return_tensors="pt")
    outputs = model(**inputs)
    return outputs.logits.argmax(-1).item()

# Gradio Interface
iface = gr.Interface(fn=predict, inputs="text", outputs="label", title="AfriBERTa Demo")
iface.launch()