app.py

import gradio as gr
import os
from transformers import pipeline
title = "📗Health and Mindful Story Gen❤️"
examples = [
    ["Little interest or pleasure in doing things is caused by"],
    ["Little interest or pleasure in doing things is cured by"],
    ["Feeling down, depressed, or hopeless"],
    ["Trouble falling or staying asleep, or sleeping too much"],
    ["Feeling tired or having little energy"],
    ["Poor appetite or overeating"],
    ["Feeling bad about yourself - or that you are a failure or have let yourself or your family down"],
    ["Trouble concentrating on things, such as reading the newspaper or watching television"],
    ["Moving or speaking so slowly that other people could have noticed. Or the opposite - being so fidgety or restless that you have been moving around a lot more than usual"],
    ["Thoughts that you would be better off dead, or of hurting yourself in some way"],
    ["How difficult have these made it for you to do your work, take care of things at home, or get along with other people"],
    ["Music and art make me feel"],
    ["Feel better each day when you awake by"],
    ["Feel better physically by"],
    ["Practicing mindfulness each day"],
    ["Be happier by"],
    ["Meditation can improve health"],
    ["Spending time outdoors"],
    ["Stress is relieved by quieting your mind, getting exercise and time with nature"],
    ["Break the cycle of stress and anxiety"],
    ["Feel calm in stressful situations"],
    ["Deal with work pressure"],
    ["Learn to reduce feelings of overwhelmed"]
]
from gradio import inputs
from gradio.inputs import Textbox
from gradio import outputs

HF_TOKEN = os.environ.get("HF_TOKEN")    # get token from secrets, copy token value HF_TOKEN from Profile settings token into this repo settings
generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN) # add api_key=HF_TOKEN to get over the quota error
generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
generator1 = gr.Interface.load("huggingface/gpt2-large", api_key=HF_TOKEN)
gr.Parallel(generator1, generator2, generator3, inputs=gr.inputs.Textbox(lines=5, label="Enter a sentence to get another sentence."),
            title=title, examples=examples).launch(share=False)