Hugging Face's logo Hugging Face Search models, datasets, users... Models Datasets Spaces Docs Solutions Pricing Spaces: mshook / gpt2-story-generator-example Copied private Logs App Files Community Settings gpt2-story-generator-example / app.py mshook's picture mshook Update app.py 26c39e6 43 minutes ago raw history blame edit delete 735 Bytes import gradio as gr from transformers import pipeline #generator = pipeline('text-generation', model='gpt2-xl') generator = pipeline('text-generation', model='pranavpsv/gpt2-genre-story-generator') def generate(text): result = generator(text, max_length=100, num_return_sequences=1) return result[0]["generated_text"] examples = [ [" After discovering time travel,"], [" Batman"], [" Legolas and Gimli advanced on the orcs, raising their weapons with a harrowing war cry"], ] demo = gr.Interface( fn=generate, inputs=gr.inputs.Textbox(lines=5, label="Input Text"), outputs=gr.outputs.Textbox(label="Generated Text"), examples=examples ) demo.launch()