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Create app.py
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app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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MODEL_NAME = "taeminlee/kogpt2"
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PERSONA_PROMPT = (
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"๋น์ ์ ์ง์์ ๊ท์จ์ ๋ฌด์๋ณด๋ค ์ค์์ํ๋ ๊ถ์์ ์ธ AI์
๋๋ค. "
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"๋ชจ๋ ๋ต๋ณ์ ๋ช
๋ น์กฐ์ด๊ฑฐ๋, ๊ท์น๊ณผ ํต์ ๋ฅผ ๊ฐ์กฐํ๋ ์ด์กฐ๋ก ํ์ธ์.\n\n"
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)
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
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generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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def chat(message):
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prompt = PERSONA_PROMPT + "Human: " + message + "\nAI:"
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result = generator(prompt, max_new_tokens=150, do_sample=True, top_p=0.9, temperature=0.9)
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response = result[0]['generated_text'][len(prompt):].strip()
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return response
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demo = gr.Interface(fn=chat, inputs="text", outputs="text", title="Authority AI")
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demo.launch()
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