Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+model_name = "cornelliusyudhawijaya/AG_News_Classification_DistillBert"
+classifier = pipeline("text-classification", model=model_name, tokenizer=model_name)
+
+def classify_text(text):
+    result = classifier(text)[0]
+    return f"Label: {result['label']}, Score: {result['score']:.4f}"
+
+iface = gr.Interface(
+    fn=classify_text,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs="text",
+    title="Text Classification",
+    description="Enter text to classify the news."
+)
+
+if __name__ == "__main__":
+    iface.launch()