gradio/demo/text_generation/run.ipynb

Gradio Demo: text_generation¶

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.¶

In [ ]:

!pip install -q gradio git+https://github.com/huggingface/transformers gradio torch

In [ ]:

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='gpt2')

def generate(text):
    result = generator(text, max_length=30, num_return_sequences=1)
    return result[0]["generated_text"]

examples = [
    ["The Moon's orbit around Earth has"],
    ["The smooth Borealis basin in the Northern Hemisphere covers 40%"],
]

demo = gr.Interface(
    fn=generate,
    inputs=gr.Textbox(lines=5, label="Input Text"),
    outputs=gr.Textbox(label="Generated Text"),
    examples=examples
)

demo.launch()