google/flan-ul2

app.py

@@ -11,7 +11,7 @@ examples = [['COVID-19 is'],['A 65-year-old female patient with a past medical h
 print(f"Is CUDA available: {torch.cuda.is_available()}")
 print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
 
-pipe_biogpt = pipeline("text-generation", model="microsoft/BioGPT-Large", device="cuda:0", model_kwargs={"torch_dtype":torch.bfloat16})
+pipe_biogpt = pipeline("text-generation", model="microsoft/biogpt", device="cuda:0", model_kwargs={"torch_dtype":torch.bfloat16})
 pipe_flan_ul2 = pipeline("text-generation", model="google/flan-ul2", device="cuda:0", model_kwargs={"torch_dtype":torch.bfloat16})
 
 title = "LLM vs LLM!"
@@ -29,8 +29,8 @@ io = gr.Interface(
   inference,
   gr.Textbox(lines=3),
   outputs=[
-    gr.Textbox(lines=3, label="BioGPT-Large"),
-    gr.Textbox(lines=3, label="Flan UL2"),
+    gr.Textbox(lines=3, label="microsoft/biogpt"),
+    gr.Textbox(lines=3, label="google/flan-ul2"),
   ],
   title=title,
   description=description,