create app and add requirements

app.py

@@ -0,0 +1,37 @@
+from transformers import AutoTokenizer, pipeline
+import torch
+import gradio as gr
+
+model_name = "nattkorat/xml_roberta_with_raw_text"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = pipeline(task="text-classification", 
+                 model=model_name, 
+                 tokenizer=tokenizer, 
+                 truncation=True, 
+                 padding=True, 
+                 top_k=6
+                 )
+
+
+
+def classify_news(article: str):
+    if not article.strip():
+        return {"error": "សូមបញ្ចូលអត្ថបទដើម្បីវិភាគ!"}
+    output = model(article)
+    results = {}
+    for out in output[0]:
+        results[out['label']] = out['score']
+    return results
+
+interface = gr.Interface(
+    fn=classify_news,
+    inputs=gr.TextArea(placeholder="ដាក់អត្ថបទចូលនៅទីនេះ", label="អត្ថបទ"),
+    outputs=gr.Label(num_top_classes=6),
+    title="XLM-Roberta for Khmer News Classification",
+    description="A demo of XLM-Roberta for khmer news classification."
+)
+
+interface.launch()
+
+
+# print(classify_news("Hello"))

requirements.txt

@@ -0,0 +1,2 @@
+torch
+transformers