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Update app.py
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app.py
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import gradio as gr
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from transformers import
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#
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model_name = "
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tokenizer =
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model =
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def generate_meta_description(product_description):
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prompt = f"Сгенерируй meta description (до 160 символов) по следующему описанию товара: {product_description}"
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inputs = tokenizer(prompt, return_tensors="pt", max_length=512, truncation=True)
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summary_ids = model.generate(
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max_length=60,
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num_beams=
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no_repeat_ngram_size=
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early_stopping=True
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)
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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# обрезаем аккуратно, чтобы не обрывать слова
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if len(summary) > 160:
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truncated = summary[:160]
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last_space = truncated.rfind(' ')
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summary = truncated[:last_space]
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return summary.strip()
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iface = gr.Interface(
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fn=generate_meta_description,
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inputs=gr.Textbox(label="Описание товара", lines=5, placeholder="Например: Красивое мужское пальто из шерсти..."),
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outputs=gr.Textbox(label="Meta Description (до 160 символов)"),
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title="Meta Description
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description="
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)
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if __name__ == "__main__":
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import gradio as gr
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from transformers import GPT2Tokenizer, T5ForConditionalGeneration
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# Загрузка модели и токенизатора
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model_name = "RussianNLP/FRED-T5-Summarizer"
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tokenizer = GPT2Tokenizer.from_pretrained(model_name, eos_token='</s>')
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model = T5ForConditionalGeneration.from_pretrained(model_name)
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def generate_meta_description(product_description):
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prompt = f"<LM> Сгенерируй meta description (до 160 символов) по следующему описанию товара: {product_description}"
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input_ids = tokenizer.encode(prompt, return_tensors='pt', max_length=512, truncation=True)
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summary_ids = model.generate(
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input_ids,
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max_length=60,
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num_beams=5,
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no_repeat_ngram_size=4,
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top_p=0.9,
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early_stopping=True
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)
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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# Обрезаем до 160 символов, не обрывая слова
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if len(summary) > 160:
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truncated = summary[:160]
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last_space = truncated.rfind(' ')
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summary = truncated[:last_space]
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return summary.strip()
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iface = gr.Interface(
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fn=generate_meta_description,
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inputs=gr.Textbox(label="Описание товара", lines=5, placeholder="Например: Красивое мужское пальто из шерсти..."),
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outputs=gr.Textbox(label="Meta Description (до 160 символов)"),
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title="Генератор Meta Description",
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description="Вставьте описание товара, и получите краткое и логичное описание для тега <meta name=\"description\"> (до 160 символов)."
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)
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if __name__ == "__main__":
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