Create app.py

app.py

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+import gradio as gr
+title = "Biomedical"
+description = "Gradio Demo of a pretrained model used for NER without supervised. To use it, simply add your text, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2007.15779' target='_blank'>Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing</a> | <a href='https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext' target='_blank'>HF model page</a></p>"
+examples = [
+    ["Lou Gehrig who works for XCorp suffers from [MASK]"]
+]
+gr.Interface.load("ajitrajasekharan/biomedical,title=title,description=description,article=article, examples=examples,enable_queue=True).launch()