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Update app.py
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import gradio as gr
import os
from transformers import pipeline
title = "📗Health and Mindful Story Gen❤️"
examples = [
["Mental Body Scan"],
["Stretch, Calm, Breath"],
["Relaxed Seat Breath"],
["Walk Feel"],
["Brain gamification"],
["alleviating stress"],
["helping breathing, satisfaction"],
["Relieve Stress, Build Support"],
["Relaxation Response"],
["Deep Breaths"],
["Delete Not Helpful Thoughts"],
["Strengthen Helpful"],
["Reprogram Pain Stress Reactions"],
["Sleep Better and Find Joy"],
["Yoga Sleep"],
["Being a Happier and Healthier Person"],
["Relieve Pain"],
["Learn to Use Mindfulness to Affect Well Being"],
["Build and Boost Mental Strength"],
["Spending Time Outdoors"],
["Daily Routine Tasks"],
["Eating and Drinking - Find Healthy Nutrition Habits"],
["Drinking - Find Reasons and Cut Back or Quit Entirely"],
["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"]
]
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") # add api_key=HF_TOKEN to get over the quota error
generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
generator1 = gr.Interface.load("huggingface/gpt2-large")
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)