Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+gr.Interface.from_pipeline(
+    pipeline("token-classification", "cogniveon/nlpcw-ner"),
+    title="Abbreviation Detection",
+    description="Token classication pipeline that detects abbreviations and it's long forms (based on huggingface model: \"romainlhardy/roberta-large-finetuned-ner\")",
+    fill_width=True,
+    allow_flagging='never',
+    examples=[
+        "The new SMPL-X model (Skinned Multi Person Linear Model - eXpressive) is based on SMPL and retains the benefits of that model: compatibility with graphics software, simple parametrization, small size, efficient, differentiable, etc."
+    ],
+).launch()