Create app.py

app.py

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+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()