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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()
["<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()
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