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import gradio as gr
from transformers import pipeline
generator = pipeline(
"text-generation",
model="cyberagent/open-calm-small",
tokenizer="cyberagent/open-calm-small",
)
def generate(text):
result = generator(text)
return result[0]["generated_text"]
examples = [
["AIによって私達の暮らしは、"],
]
demo = gr.Interface(
fn=generate,
inputs=gr.Textbox(lines=5, label="Input Text"),
outputs=gr.Textbox(lines=5, label="Generated Text"),
examples=examples,
description="# [CyberAgent OpenCALM-Small](https://huggingface.co/cyberagent/open-calm-small)",
)
demo.launch()
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