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app.py

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+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)

requirements.txt

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+transformers