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app.py | |
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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 = [ | |
["<BOS> <sci_fi> After discovering time travel,"], | |
["<BOS> <superhero> Batman"], | |
["<BOS> <drama> 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() | |