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Update app/llm.py
Browse files- app/llm.py +27 -10
app/llm.py
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@@ -1,8 +1,20 @@
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from openai import OpenAI
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from app.config import settings
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from typing import Literal
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TONE_MAP = {
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"neutral": "ニュートラルで事実中心",
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@@ -26,7 +38,7 @@ SYSTEM_TMPL = """
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"""
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PROMPT_TMPL = """
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【目的
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【入力テキスト要約】以下の素材から、要点を抽出し、{ctype_guide}に沿ってMarkdownドラフトを生成。
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---
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{source_text}
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@@ -39,7 +51,12 @@ PROMPT_TMPL = """
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- 最後に「メタデータ」セクションを追加(推奨タグ・要約140字・推奨URLスラッグ)
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"""
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def generate_draft(
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tone_ja = TONE_MAP.get(tone, TONE_MAP["neutral"])
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guide = TYPE_GUIDE[content_type]
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@@ -50,7 +67,7 @@ def generate_draft(source_text: str, content_type: Literal["press_release","ir_l
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tone_ja=tone_ja,
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ctype_guide=guide,
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source_text=source_text[:12000],
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)}
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]
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resp = client.chat.completions.create(
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@@ -60,20 +77,20 @@ def generate_draft(source_text: str, content_type: Literal["press_release","ir_l
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)
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text = resp.choices[0].message.content
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# 件名(Subject)候補A/B
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subj_resp = client.chat.completions.create(
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model=settings.OPENAI_MODEL,
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temperature=0.3,
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messages=[
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{"role":"system","content":"日本語のPRメール件名ライター。50文字以内、事実に忠実。"},
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{"role":"user","content": f"次のMarkdownドラフトから、差分のある件名案を2つ出して。\n---\n{text[:6000]}"}
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]
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)
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subs = subj_resp.choices[0].message.content.splitlines()
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subj_a = next((s for s in subs if s.strip()), "お知らせ")
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subj_b = next((s for s in subs[1:] if s.strip()), subj_a + "【続報】")
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# タイトル抽出(先頭行#
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title = None
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for line in text.splitlines():
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if line.strip().startswith("# "):
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import os
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from typing import Literal
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from openai import OpenAI
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from app.config import settings
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# 遅延初期化:インポート時にHTTPクライアントを作らない(環境差異の影響を減らす)
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_client = None
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def _get_client() -> OpenAI:
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global _client
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if _client is None:
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api_key = settings.OPENAI_API_KEY or os.getenv("OPENAI_API_KEY", "")
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if not api_key:
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# 起動時ではなく呼び出し時に明示エラー
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raise RuntimeError("OPENAI_API_KEY is not set. Please add it to HF Spaces Secrets or .env.")
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_client = OpenAI(api_key=api_key)
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return _client
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TONE_MAP = {
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"neutral": "ニュートラルで事実中心",
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"""
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PROMPT_TMPL = """
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【目的】{ctype}のドラフトを{tone_ja}で作成。
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【入力テキスト要約】以下の素材から、要点を抽出し、{ctype_guide}に沿ってMarkdownドラフトを生成。
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---
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{source_text}
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- 最後に「メタデータ」セクションを追加(推奨タグ・要約140字・推奨URLスラッグ)
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"""
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def generate_draft(
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source_text: str,
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content_type: Literal["press_release", "ir_letter", "investor_summary"],
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tone: str,
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):
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client = _get_client()
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tone_ja = TONE_MAP.get(tone, TONE_MAP["neutral"])
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guide = TYPE_GUIDE[content_type]
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tone_ja=tone_ja,
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ctype_guide=guide,
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source_text=source_text[:12000],
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)},
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]
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resp = client.chat.completions.create(
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)
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text = resp.choices[0].message.content
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# 件名(Subject)候補A/B
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subj_resp = client.chat.completions.create(
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model=settings.OPENAI_MODEL,
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temperature=0.3,
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messages=[
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{"role": "system", "content": "日本語のPRメール件名ライター。50文字以内、事実に忠実。"},
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{"role": "user", "content": f"次のMarkdownドラフトから、差分のある件名案を2つ出して。\n---\n{text[:6000]}"},
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],
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)
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subs = subj_resp.choices[0].message.content.splitlines()
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subj_a = next((s for s in subs if s.strip()), "お知らせ")
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subj_b = next((s for s in subs[1:] if s.strip()), subj_a + "【続報】")
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# タイトル抽出(先頭行 # 見出し)
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title = None
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for line in text.splitlines():
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if line.strip().startswith("# "):
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