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app.py

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+import os
+import json
+import gradio as gr
+from openai import OpenAI
+
+# ---- APIキー（SecretsにOPENAI_API_KEYをセット）----
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+if not OPENAI_API_KEY:
+    raise RuntimeError("OPENAI_API_KEY is not set. Add it in Settings → Variables and secrets.")
+
+client = OpenAI(api_key=OPENAI_API_KEY)
+MODEL = "gpt-4o"  # 必要に応じて gpt-4o-mini などに変更
+
+def summarize(text: str, length: str = "short") -> str:
+    system = (
+        "あなたは日英梅林月の要約アシスタント。"
+        "重要点の抽出、冗長排除、事実の改変の禁止。出力は日本語で。"
+        f"長さの目安：{length}"
+    )
+    resp = client.chat.completions.create(
+        model=MODEL,
+        messages=[
+            {"role": "system", "content": system},
+            {"role": "user", "content": text}
+        ]
+    )
+    return resp.choices[0].message.content.strip()
+
+def translate(text: str, target_lang: str = "en", formality: str = "neutral") -> str:
+    system = "あなたは一流の翻訳家。意味忠実・自然な役・用語統一・固有名詞適切"
+    user = f"次の文を{target_lang}に翻訳。文体：{formality}\n\n{text}"
+    resp = client.chat.completions.create(
+        model=MODEL,
+        messages=[
+            {"role": "system", "content": system},
+            {"role": "user", "content": user}
+        ]
+    )
+    return resp.choices[0].message.content.strip()
+
+with gr.Blocks(title="Summarize & Translate") as demo:
+    gr.Markdown("# Summarize & Translate")
+    with gr.Tab("Summarize"):
+        txt = gr.Textbox(lines=8, label="本文")
+        length = gr.Dropdown(["short", "medium", "long"], value="short", label="長さ")
+        out = gr.Textbox(label="要約結果")
+        btn = gr.Button("要約する")
+        btn.click(fn=summarize, inputs=[txt, length], outputs=out)
+
+    with gr.Tab("Translate"):
+        txt2 = gr.Textbox(lines=8, label="本文")
+        lang = gr.Dropdown(["ja", "en", "zh", "ko", "fr", "de"], value="en", label="言語")
+        lform = gr.Dropdown(["neutral", "formal", "casual"], value="neutral", label="文体")
+        out2 = gr.Textbox(label="翻訳結果")
+        btn2 = gr.Button("翻訳する")
+        btn2.click(fn=translate, inputs=[txt2, lang, lform], outputs=out2)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+openai>=1.40.0
+gradio>=4.40.0
+python-dotenv>=1.0.1