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Update app.py
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app.py
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@@ -1,14 +1,18 @@
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import gradio as gr
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from transformers import pipeline
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tsundere_ai = pipeline(
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"text-generation",
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model="rinna/japanese-gpt-neox-3.6b-instruction-ppo",
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device_map=None,
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tokenizer_kwargs={"use_fast": False}
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)
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def convert(text):
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prompt = f"""
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以下の文章を自然でなめらかなツンデレ口調に変換してください。
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・不自然な語尾にしない
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@@ -20,9 +24,11 @@ def convert(text):
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【変換後】"""
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return out.split("【変換後】")[-1].strip()
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app = gr.Interface(
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fn=convert,
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inputs=gr.Textbox(label="入力文"),
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import gradio as gr
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from transformers import pipeline
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# モデル読み込み(起動時に一度だけ)
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tsundere_ai = pipeline(
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"text-generation",
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model="rinna/japanese-gpt-neox-3.6b-instruction-ppo",
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device_map=None, # CPUのみ
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tokenizer_kwargs={"use_fast": False} # slow tokenizer
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)
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def convert(text):
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# 入力文が長すぎる場合は切り詰める
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text = text[:200] # 先頭200文字だけ処理
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prompt = f"""
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以下の文章を自然でなめらかなツンデレ口調に変換してください。
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・不自然な語尾にしない
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【変換後】"""
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# max_new_tokens を短めに
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out = tsundere_ai(prompt, max_new_tokens=50, temperature=0.8)[0]["generated_text"]
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return out.split("【変換後】")[-1].strip()
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# Gradio UI
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app = gr.Interface(
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fn=convert,
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inputs=gr.Textbox(label="入力文"),
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