Create app.py

app.py

@@ -0,0 +1,12 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load model
+classifier = pipeline("text-classification", model="Pisethan/khmer-classifier")
+
+def predict(text):
+    output = classifier(text)[0]
+    return f"📚 Label: {output['label']} (Score: {output['score']:.2f})"
+
+demo = gr.Interface(fn=predict, inputs="text", outputs="text", title="Khmer Prompt Classifier")
+demo.launch()