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import gradio as gr | |
from transformers import pipeline | |
generator = pipeline('text-generation', model='gpt2') | |
def generate(text): | |
result = generator(text, max_length=150, num_return_sequences=1) | |
return result[0]["generated_text"] | |
examples = [ | |
["Once upon a time in a mystical land, there lived a brave knight"], | |
] | |
iface = gr.Interface( | |
fn=generate, | |
inputs=gr.inputs.Textbox(lines=2, label="Enter the story prompt..."), | |
outputs=gr.outputs.Textbox(label="Generated Story"), | |
examples=examples, | |
description="Generate creative stories with the AI storyteller!" | |
) | |
iface.launch(share=False) | |