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import gradio as gr |
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import requests |
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import os |
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API_URL = os.getenv("API_URL") |
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AUTH_TOKEN = os.getenv("AUTH_TOKEN") |
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headers = {"Authorization": f"Bearer {AUTH_TOKEN}"} |
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def postproccess(responce): |
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return ' '.join([x['entity_group'] for x in responce]) |
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def query(request): |
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response = requests.post(API_URL, headers=headers, json=request) |
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return postproccess(response.json()) |
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with gr.Blocks() as demo: |
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gr.Markdown( |
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""" |
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# Модель для определения скелетной структуры текста |
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Это демо-приожение демонстрирует работу модели. |
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- [Модель](https://huggingface.co./disk0dancer/ruBert-base-finetuned-pos) |
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- [Проект](https://huggingface.co./spaces/disk0dancer/demo-rubert-base-finetuned-pos) |
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""") |
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inp = gr.Textbox(placeholder="Введите текст на русском языке...", label="input") |
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out = gr.Textbox(label="output") |
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inp.change(query, inp, out) |
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with open('tags.txt', 'r') as f: |
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gr.Markdown(f.read()) |
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if __name__ == "__main__": |
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demo.launch(server_port=7860, share=True) |
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