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import streamlit as st
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st.set_page_config(
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layout="wide",
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page_title="Spark NLP Demos App",
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initial_sidebar_state="auto"
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)
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st.markdown("""
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<style>
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.main-title {
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font-size: 36px;
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color: #4A90E2;
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font-weight: bold;
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text-align: center;
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}
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.sub-title {
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font-size: 24px;
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color: #333333;
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margin-top: 20px;
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}
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.section {
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background-color: #f9f9f9;
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padding: 15px;
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border-radius: 10px;
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margin-top: 20px;
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}
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.section h2 {
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font-size: 22px;
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color: #4A90E2;
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}
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.section p, .section ul {
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color: #666666;
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}
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.link {
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color: #4A90E2;
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text-decoration: none;
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}
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</style>
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""", unsafe_allow_html=True)
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st.markdown('<div class="main-title">Spark NLP: State-of-the-Art Natural Language Processing</div>', unsafe_allow_html=True)
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st.markdown("""
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<div class="section">
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<p>Spark NLP is a state-of-the-art Natural Language Processing library built on top of Apache Spark. It provides performant & accurate NLP annotations for machine learning pipelines that scale in a distributed environment. With 36,000+ pretrained models and pipelines in over 200 languages, Spark NLP supports a wide range of NLP tasks including:</p>
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<ul>
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<li>Tokenization</li>
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<li>Named Entity Recognition</li>
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<li>Sentiment Analysis</li>
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<li>Text Classification</li>
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<li>Machine Translation</li>
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<li>Summarization</li>
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<li>Question Answering</li>
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<li>Text Generation</li>
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<li>Image Classification</li>
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<li>Automatic Speech Recognition</li>
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<li>And many more</li>
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</ul>
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</div>
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""", unsafe_allow_html=True)
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st.markdown('<div class="sub-title">Key Features</div>', unsafe_allow_html=True)
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st.markdown("""
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<div class="section">
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<ul>
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<li>Integration with popular transformers like BERT, RoBERTa, ALBERT, and more</li>
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<li>Support for Python, R, and JVM (Java, Scala, Kotlin)</li>
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<li>GPU support for accelerated processing</li>
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<li>Easy integration with Spark ML functions</li>
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</ul>
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</div>
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""", unsafe_allow_html=True)
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st.markdown('<div class="sub-title">Community & Support</div>', unsafe_allow_html=True)
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st.markdown("""
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<div class="section">
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<ul>
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<li><a class="link" href="https://sparknlp.org/" target="_blank">Official Website</a>: Documentation and examples</li>
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<li><a class="link" href="https://join.slack.com/t/spark-nlp/shared_invite/zt-198dipu77-L3UWNe_AJ8xqDk0ivmih5Q" target="_blank">Slack</a>: Live discussion with the community and team</li>
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<li><a class="link" href="https://github.com/JohnSnowLabs/spark-nlp" target="_blank">GitHub</a>: Bug reports, feature requests, and contributions</li>
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<li><a class="link" href="https://medium.com/spark-nlp" target="_blank">Medium</a>: Spark NLP articles</li>
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<li><a class="link" href="https://www.youtube.com/channel/UCmFOjlpYEhxf_wJUDuz6xxQ/videos" target="_blank">YouTube</a>: Video tutorials</li>
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</ul>
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</div>
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""", unsafe_allow_html=True)
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st.markdown('<div class="sub-title">Quick Links</div>', unsafe_allow_html=True)
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st.markdown("""
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<div class="section">
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<ul>
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<li><a class="link" href="https://sparknlp.org/docs/en/quickstart" target="_blank">Getting Started</a></li>
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<li><a class="link" href="https://nlp.johnsnowlabs.com/models" target="_blank">Pretrained Models</a></li>
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<li><a class="link" href="https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples/python/annotation/text/english" target="_blank">Example Notebooks</a></li>
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<li><a class="link" href="https://sparknlp.org/docs/en/install" target="_blank">Installation Guide</a></li>
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</ul>
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</div>
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""", unsafe_allow_html=True)
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