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Browse files- app.py +21 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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from transformers import pipeline
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generator = pipeline('text-generation', model='sberbank-ai/rugpt3large_based_on_gpt2')
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def generate(text):
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result = generator(text, max_length=200, temperature=0.7, num_return_sequences=1, do_sample=True)
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return result[0]["generated_text"]
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examples = [
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["Александр Сергеевич Пушкин известен нам не только евгением онегиным, но и своими сказками, среди которых:"],
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]
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demo = gr.Interface(
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fn=generate,
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inputs = gr.inputs.Textbox(lines=3, label="Input Text"),
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outputs=gr.outputs.Textbox(label="Generated Text"),
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examples=examples
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)
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demo.launch()
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requirements.txt
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transformers
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gradio
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torch
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