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DESCRIPTION.md

@@ -0,0 +1 @@
+This text generation demo works like autocomplete. There's only one textbox and it's used for both the input and the output. The demo loads the model as an interface, and uses that interface as an API. It then uses blocks to create the UI. All of this is done in less than 10 lines of code.

README.md

@@ -1,7 +1,7 @@
 
 ---
 title: autocomplete 
-emoji: 🤗
+emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio

app.py

@@ -1,6 +1,3 @@
-# URL: https://huggingface.co/spaces/gradio/autocomplete
-# DESCRIPTION: This text generation demo works like autocomplete. There's only one textbox and it's used for both the input and the output. The demo loads the model as an interface, and uses that interface as an API. It then uses blocks to create the UI. All of this is done in less than 10 lines of code.
-# imports
 import gradio as gr
 import os
 
@@ -11,20 +8,14 @@ auth_token = os.getenv("auth_token")
 # you can remove the api_key parameter if you don't care about rate limiting. 
 api = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=auth_token)
 
-# define the core function
 def complete_with_gpt(text):
-    # Use the last 50 characters of the text as context
     return text[:-50] + api(text[-50:])
 
-# start a block
 with gr.Blocks() as demo:
-    # define the UI: one textbox, and a button
     textbox = gr.Textbox(placeholder="Type here...", lines=4)
     btn = gr.Button("Autocomplete")
     
-    # define what will run when the button is clicked
-    # the textbox is used as both an input and an output
+    # define what will run when the button is clicked, here the textbox is used as both an input and an output
     btn.click(fn=complete_with_gpt, inputs=textbox, outputs=textbox, queue=False)
 
-# launch    
 demo.launch()