Update app.py
Browse files
app.py
CHANGED
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@@ -20,22 +20,26 @@ tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
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# プロンプトテンプレートの準備
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def generate_prompt(F):
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result = f"""###
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result = result.replace('\n', '<NL>')
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return result
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# テキスト生成関数の定義
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@spaces.GPU(duration=60)
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def generate2(F=None, maxTokens=256):
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try:
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# モデルをGPUに転送
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model.to("cuda")
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# 推論
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prompt = generate_prompt(F)
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input_ids = tokenizer(prompt, return_tensors="pt", truncation=True, add_special_tokens=False).input_ids.to("cuda")
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with torch.no_grad():
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outputs = model.generate(
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input_ids=input_ids,
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max_new_tokens=maxTokens,
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@@ -46,9 +50,8 @@ def generate2(F=None, maxTokens=256):
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no_repeat_ngram_size=2,
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)
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# CPUに戻す
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model.to("cpu")
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torch.cuda.empty_cache()
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outputs = outputs[0].tolist()
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decoded = tokenizer.decode(outputs)
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@@ -58,12 +61,14 @@ def generate2(F=None, maxTokens=256):
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eos_index = outputs.index(tokenizer.eos_token_id)
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decoded = tokenizer.decode(outputs[:eos_index])
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#
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sentinel = "###
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sentinelLoc = decoded.find(sentinel)
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if sentinelLoc >= 0:
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result = decoded[sentinelLoc + len(sentinel):]
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else:
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return 'Warning: Expected prompt template to be emitted. Ignoring output.'
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# プロンプトテンプレートの準備
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def generate_prompt(F):
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result = f"""### 指示:
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あなたは企業の面接官です。以下の就活生のエントリーシート内容を読んで、深掘りする質問を1つ考えてください。
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### エントリーシート:
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{F}
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### 面接官の質問:"""
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result = result.replace('\n', '<NL>')
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return result
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# テキスト生成関数の定義
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@spaces.GPU(duration=60)
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def generate2(F=None, maxTokens=256):
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try:
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model.to("cuda")
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prompt = generate_prompt(F)
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input_ids = tokenizer(prompt, return_tensors="pt", truncation=True, add_special_tokens=False).input_ids.to("cuda")
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with torch.no_grad():
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outputs = model.generate(
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input_ids=input_ids,
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max_new_tokens=maxTokens,
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no_repeat_ngram_size=2,
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)
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model.to("cpu")
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torch.cuda.empty_cache()
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outputs = outputs[0].tolist()
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decoded = tokenizer.decode(outputs)
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eos_index = outputs.index(tokenizer.eos_token_id)
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decoded = tokenizer.decode(outputs[:eos_index])
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# レスポンス内容のみ抽出(修正)
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sentinel = "### 面接官の質問:"
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sentinelLoc = decoded.find(sentinel)
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if sentinelLoc >= 0:
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result = decoded[sentinelLoc + len(sentinel):]
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# 最初の改行までを取得(1つの質問だけ)
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result = result.split('\n')[0] if '\n' in result else result
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return result.replace("<NL>", "\n").strip()
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else:
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return 'Warning: Expected prompt template to be emitted. Ignoring output.'
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