Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+
+# Load model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("viv/UD_Greek-GUD")
+model = AutoModelForTokenClassification.from_pretrained("viv/UD_Greek-GUD")
+
+def predict(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model(**inputs)
+    return outputs.logits.argmax(-1).tolist()
+
+# Interface
+interface = gr.Interface(
+    fn=predict,
+    inputs="text",
+    outputs="text",
+    title="UD Greek GUD Model",
+    description="Upload a text for analysis using the UD Greek GUD model.",
+)
+
+interface.launch()