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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 pipeline
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# Hugging Face λͺ¨λΈ μ μ₯μμμ λͺ¨λΈμ λ€μ΄λ‘λνμ¬ μ΄κΈ°ν
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generator = pipeline('text-generation', model='facebook/bart-base')
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def generate_self_introduction(job, strength, weakness, major, experience):
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# μ
λ ₯ ν€μλ μ²λ¦¬
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job = job.strip()
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strength = [s.strip() for s in strength.split(',')]
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weakness = [w.strip() for w in weakness.split(',')]
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major = major.strip()
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experience = [e.strip() for e in experience.split(',')]
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# μκΈ°μκ°μ μμ±
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intro = f'μλ
νμΈμ, {job} μ§λ¬΄μ μ§μνλ [μ΄λ¦]μ
λλ€.\n'
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intro += f'μ λ {major} μ 곡 μΆμ μΌλ‘ {experience[0]} κ²½νμ΄ μμ΅λλ€.\n'
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intro += f'μ μ μ±κ²© μ₯μ μ {", ".join(strength)}μ
λλ€.\n'
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intro += f'μ μ μ±κ²© λ¨μ μ {", ".join(weakness)}μ
λλ€.\n'
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intro += generator(job, max_length=1024, num_return_sequences=1)[0]['generated_text'][:500] # μ΅λ κΈΈμ΄λ₯Ό 1024λ‘ μ ννκ³ , 500μκΉμ§λ§ μΆλ ₯
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return intro
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# Gradio μΈν°νμ΄μ€ μμ±
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iface = gr.Interface(
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fn=generate_self_introduction,
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inputs=[
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gr.Textbox(label='μ·¨μ
ν μ§λ¬΄ μ΄λ¦'),
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gr.Textbox(label='λμ μ±κ²© μ₯μ (μ½€λ§λ‘ ꡬλΆ)'),
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gr.Textbox(label='λμ μ±κ²© λ¨μ (μ½€λ§λ‘ ꡬλΆ)'),
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gr.Textbox(label='μ 곡'),
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gr.Textbox(label='λμΈνλ κ²½ν (μ½€λ§λ‘ ꡬλΆ)'),
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],
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outputs=gr.Textbox(label='μκΈ°μκ°μ'),
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title='μκΈ°μκ°μ μμ± μλΉμ€',
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description='μ·¨μ
ν μ§λ¬΄ μ΄λ¦, λμ μ±κ²© μ₯μ , λμ μ±κ²© λ¨μ , μ 곡, λμΈνλ κ²½νμ μ
λ ₯νμ¬ μκΈ°μκ°μλ₯Ό μμ±ν©λλ€.'
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)
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# Gradio μ ν리μΌμ΄μ
μ€ν
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iface.launch()
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