app.py

import os
from threading import Thread
from typing import Iterator
import gradio as gr
import spaces
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers import pipeline

model = pipeline("text-generation" , model="appvoid/palmer-004")

@spaces.GPU
def predict(prompt):
    completion = model(prompt)[0]["generated_text"]
    return completion

gr.Interface(
    fn=predict, 
    inputs="text", 
    outputs="text",
    title="playground",
    description=description,
    examples=examples,
    enable_queue=True,
    ).launch()