Create cantonPOS.py

cantonPOS.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the POS model
+model_name = "AlienKevin/bert_base_cantonese_pos_hkcancor"
+nlp = pipeline("ner", model=model_name)
+
+def predict(text):
+    return nlp(text)
+
+# Gradio interface
+demo = gr.Interface(fn=predict, inputs="text", outputs="json")
+demo.launch()