Create app.py

app.py

@@ -0,0 +1,11 @@
+from transformers import pipeline, set_seed
+from transformers import BioGptTokenizer, BioGptForCausalLM
+import gradio as gr
+model = BioGptForCausalLM.from_pretrained("microsoft/biogpt")
+tokenizer = BioGptTokenizer.from_pretrained("microsoft/biogpt")
+generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
+set_seed(42)
+def predict(text):
+    return generator(text, max_length=20, num_return_sequences=1, do_sample=True)
+interface = gr.Interface(predict, "textbox", "textbox", title="Biogpt", description="Biogpt")
+interface.launch()