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Update app.py
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app.py
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@@ -1,12 +1,3 @@
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import gradio as gr
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from transformers import pipeline, AutoTokenizer
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gr.load("models/rinna/japanese-gpt2-medium").launch()
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# 日本語モデルを指定
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model_name = "rinna/japanese-gpt2-medium"
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from spaces import GPU
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@GPU(duration=120)
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@@ -14,10 +5,13 @@ def generate_text(prompt, max_length):
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result = generator(prompt, max_length=max_length, num_return_sequences=1)
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return result[0]['generated_text']
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# トークナイザーとパイプラインの設定
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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def generate_text(prompt, max_length):
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result = generator(prompt, max_length=max_length, num_return_sequences=1)
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@@ -32,4 +26,4 @@ iface = gr.Interface(
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outputs=gr.Textbox(label="生成されたテキスト")
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)
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iface.launch()
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from spaces import GPU
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@GPU(duration=120)
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result = generator(prompt, max_length=max_length, num_return_sequences=1)
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return result[0]['generated_text']
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# 日本語モデルを指定
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model_name = "rinna/japanese-gpt2-medium"
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# トークナイザーとパイプラインの設定
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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generator = pipeline('text-generation', model=model_name, tokenizer=tokenizer, device=0 if torch.cuda.is_available() else -1)
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def generate_text(prompt, max_length):
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result = generator(prompt, max_length=max_length, num_return_sequences=1)
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outputs=gr.Textbox(label="生成されたテキスト")
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)
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iface.launch(share=True)
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