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app.py

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+import gradio as gr
+
+title = "GPT-J-6B"
+
+description = "Gradio Demo for GPT-J 6B, a transformer model trained \
+using Ben Wang's Mesh Transformer JAX. 'GPT-J' refers to the class of \
+model, while '6B' represents the number of trainable parameters. \
+To use it, simply add your text, or click one of the examples to load them. \
+I've used the API on this Space to deploy the GPT-J-6B model on a Telegram bot. \
+Link to blog post below 👇"
+
+article = "<p style='text-align: center'> \
+<a href='https://dicksonneoh.com/portfolio/deploy_gpt_hf_models_on_telegram/' \
+target='_blank'>Blog post</a></p>"
+
+examples = [
+    ['The tower is 324 metres (1,063 ft) tall,'],
+    ["The Moon's orbit around Earth has"],
+    ["The smooth Borealis basin in the Northern Hemisphere covers 40%"]
+]
+
+gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", 
+                inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
+                title=title,description=description,
+                article=article, 
+                examples=examples,
+                enable_queue=True).launch()