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title: NLP_project
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sdk: streamlit
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2. Create a service for assessing the degree of taxiness of user-entered text using the BERT model.
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3. Horoscope generation using neural networks.
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## Libraries π
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```python
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import streamlit as st
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---
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title: NLP_project
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emoji: π£
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sdk: streamlit
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2. Create a service for assessing the degree of taxiness of user-entered text using the BERT model.
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3. Horoscope generation using neural networks.
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## Contents π€
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1. For classifying user-entered reviews of a medical institution used πΎ [bert-base-cased](https://huggingface.co/Geotrend/bert-base-ru-cased)
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2. Text toxicity meter π¦ [rubert-tiny-toxicity](https://huggingface.co/cointegrated/rubert-tiny-toxicity)
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3. Horoscope engine is π½ [GPT2] (https://colab.research.google.com/drive/1sD_hQJOi3CrHn7Ba-XuKkHRToxDRRSof?usp=sharing#scrollTo=D5Eezvzm_hrI)
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## Libraries π
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```python
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import streamlit as st
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