Update app.py

app.py

@@ -1,27 +1,7 @@
+from transformers import pipeline
 import gradio as gr
 
-title = "GPT-J-6B"
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
 
-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()
+demo = gr.Interface.from_pipeline(pipe)
+demo.launch()