Added app.py.

app.py

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+import os
+import gradio as gr
+import numpy as np
+from transformers import pipeline
+
+import torch
+print(f"Is CUDA available: {torch.cuda.is_available()}")
+print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
+
+# All of this is copied from https://huggingface.co/spaces/osanseviero/i-like-flan/blob/main/app.py
+
+pipe_ul2 = pipeline("text2text-generation", model="google/ul2", device="cuda:0")
+
+title = "Playing with UL2 while learning HF and Gradio"
+description = "Type a prompt and see what UL2 has to say."
+
+def inference(text):
+  return pipe_ul2(text, max_length=100)[0]["generated_text"]
+
+io = gr.Interface(
+  inference,
+  gr.Textbox(lines=3),
+  outputs=[
+    gr.Textbox(lines=3, label="UL2")
+  ],
+  title=title,
+  description=description
+)
+io.launch()

requirements.txt

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+--extra-index-url https://download.pytorch.org/whl/cu113
+torch
+transformers