app.py

#
# Simple example.
#
import spaces
from diffusers import DiffusionPipeline

import torch
from transformers import pipeline

pipe = pipeline("text-generation", "meta-llama/Meta-Llama-3-8B-Instruct", torch_dtype=torch.bfloat16, device_map="auto")
response = pipe(chat, max_new_tokens=512)

pipe.to('cuda')

@spaces.GPU
def generate(prompt):
    r = response[0]['generated_text'][-1]['content']
    return r

gr.Interface(
    fn=generate,
    inputs=gr.Text(),
    outputs=gr.Text(),
).launch()