Create app.py

app.py

@@ -0,0 +1,30 @@
+import os
+import gradio as gr
+from transformers import pipeline
+
+name_list = ['microsoft/biogpt']
+
+examples = [['COVID-19 is'],['A 65-year-old female patient with a past medical history of']] 
+
+pipe_biogpt = pipeline("text-generation", model="microsoft/biogpt")
+
+title = "BioGPT Demo"
+description = "Disclaimer: this demo was made for research purposes only and should not be used for medical purposes.\nModel: [BioGPT](https://huggingface.co/microsoft/biogpt)."
+
+def inference(text):
+  output_biogpt = pipe_biogpt(text, max_length=100)[0]["generated_text"]
+  return [
+      output_biogpt, 
+  ]
+
+io = gr.Interface(
+  inference,
+  gr.Textbox(lines=3),
+  outputs=[
+    gr.Textbox(lines=3, label="BioGPT"),
+  ],
+  title=title,
+  description=description,
+  examples=examples
+)
+io.launch()