Update app.py

app.py

@@ -13,22 +13,25 @@ examples = [['COVID-19 is'],['A 65-year-old female patient with a past medical h
 #print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
 
 pipe_biogpt = pipeline("text-generation", model="microsoft/biogpt")
-pipe_biomedlm = pipeline("text-generation", model="stanford-crfm/BioMedLM")
+#pipe_biomedlm = pipeline("text-generation", model="stanford-crfm/BioMedLM")
 
 title = "Compare generative biomedical LLMs!"
 description = "This demo compares [BioGPT](https://huggingface.co/microsoft/biogpt) and [BioMedLM](https://huggingface.co/stanford-crfm/BioMedLM)."
 
 def inference(text):
   output_biogpt = pipe_biogpt(text, max_length=100)[0]["generated_text"]
-  output_biomedlm = pipe_biomedlm(text, max_length=100)[0]["generated_text"]
-  return [output_biogpt, output_biomedlm]
+  #output_biomedlm = pipe_biomedlm(text, max_length=100)[0]["generated_text"]
+  return [
+      output_biogpt, 
+      #output_biomedlm
+  ]
 
 io = gr.Interface(
   inference,
   gr.Textbox(lines=3),
   outputs=[
     gr.Textbox(lines=3, label="BioGPT"),
-    gr.Textbox(lines=3, label="BioMedLM")
+    #gr.Textbox(lines=3, label="BioMedLM")
   ],
   title=title,
   description=description,