Create app.py
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app.py
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import torch
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from transformers import GPT2Tokenizer, GPT2LMHeadModel
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import gradio as gr
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# ์ฌ์ ํ๋ จ๋ GPT ๋ชจ๋ธ๊ณผ ํ ํฌ๋์ด์ ๋ถ๋ฌ์ค๊ธฐ
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tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
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model = GPT2LMHeadModel.from_pretrained("gpt2")
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def generate_story(start_text):
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# ์์ ๋ฌธ์ฅ์ ํ ํฌ๋์ด์งํ๊ณ ํ
์๋ก ๋ณํ
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input_ids = tokenizer.encode(start_text, return_tensors="pt")
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# ๋ชจ๋ธ์ ์ฌ์ฉํ์ฌ ๋ค์ ๋ฌธ์ฅ ์์ฑ
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output = model.generate(input_ids, max_length=100, num_return_sequences=1, pad_token_id=tokenizer.eos_token_id)
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# ์์ฑ๋ ๋ฌธ์ฅ ๋์ฝ๋ฉํ์ฌ ๋ฐํ
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return tokenizer.decode(output[0], skip_special_tokens=True)
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# ์
๋ ฅ UI ์ค์
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input_text = gr.inputs.Textbox(lines=5, label="์์ ๋ฌธ์ฅ์ ์
๋ ฅํ์ธ์.", placeholder="์: ํ ๋ฒ ์ด์ผ๊ธฐ๋ฅผ ์์ํด๋ณผ๊น์?")
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# ์ถ๋ ฅ UI ์ค์
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output_text = gr.outputs.Textbox(label="๋ค์ ๋ฌธ์ฅ", type="auto")
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# Gradio ์น ์ ํ๋ฆฌ์ผ์ด์
์ ์
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gr.Interface(fn=generate_story, inputs=input_text, outputs=output_text, title="AI ๊ธฐ๋ฐ ์คํ ๋ฆฌํ
๋ง ๊ฒ์").launch()
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