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DESCRIPTION.md

@@ -0,0 +1 @@
+This text generation demo takes in input text and returns generated text. It uses the Transformers library to set up the model and has two examples.

README.md

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

app.py

@@ -1,26 +1,17 @@
-# URL: https://huggingface.co/spaces/gradio/text_generation
-# DESCRIPTION: This text generation demo takes in input text and returns generated text. It uses the Transformers library to set up the model and has two examples.
-# imports
 import gradio as gr
 from transformers import pipeline
 
-# loading the model
 generator = pipeline('text-generation', model='gpt2')
 
-
-# defining the core function
 def generate(text):
     result = generator(text, max_length=30, num_return_sequences=1)
     return result[0]["generated_text"]
 
-
-# defining examples
 examples = [
     ["The Moon's orbit around Earth has"],
     ["The smooth Borealis basin in the Northern Hemisphere covers 40%"],
 ]
 
-# defining the interface
 demo = gr.Interface(
     fn=generate,
     inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
@@ -28,5 +19,4 @@ demo = gr.Interface(
     examples=examples
 )
 
-# launching
 demo.launch()