Update app.py

app.py

@@ -1,12 +1,21 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load model
+# Load classifier
 classifier = pipeline("text-classification", model="Pisethan/khmer-classifier")
 
+# Map model label IDs to real names
+label_map = {
+    "LABEL_0": "count_boys",
+    "LABEL_1": "grade2_lesson",
+    "LABEL_2": "most_students"
+}
+
 def predict(text):
     output = classifier(text)[0]
-    return f"📚 Label: {output['label']} (Score: {output['score']:.2f})"
+    label_id = output["label"]
+    label_name = label_map.get(label_id, label_id)
+    return f"📚 Label: {label_name} (Score: {output['score']:.2f})"
 
 demo = gr.Interface(fn=predict, inputs="text", outputs="text", title="Khmer Prompt Classifier")
 demo.launch()