nlu
streamlit-webrtc-example
nlu | streamlit-webrtc-example | |
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25 | 2 | |
809 | 138 | |
0.9% | - | |
8.6 | 7.0 | |
11 days ago | 3 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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nlu
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1 line to visualizations for dependency trees, entity relationships, resolution, assertion, NER and new models for Afrikaans, Welsh, Maltese, Tamil, and Vietnamese - John Snow Labs NLU 3.0.1 for Python
See the visualization tutorial notebook and visualization docs for more info.
All of the 140+ NLU tutorial Notebooks have been updated and reworked to reflect the latest changes in NLU 3.0.0+
- 200+SOTA Medical NLP Models NER, Resolution, Relations – John Snow Labs NLU3.0.0
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200+ State of the Art Medical Models for NER, Entity Resolution, Relation Extraction, Assertion, Spark 3 and Python 3.8 support - John Snow Labs NLU 3.0.0
Graph NLU tutorial
Entity Resolution overview notebook
Relation extraction notebook
Medical Named Entity Extraction (NER) notebook
NLU on Github
streamlit-webrtc-example
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Recording and playing audio files through streamlit
Of those 4, streamlit-webrtc is the most popular, so I would start there (forum post about webrtc is here and here is a demo app)
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Build a Web-Based Real-Time Computer Vision App with Streamlit
One of the easiest way to do it is to use some hosting services like Heroku, which provides HTTPS serving by default. Especially for apps using streamlit, Streamlit Sharing can be a choice. The Object Detection sample app shown above is actually using both Heroku and Streamlit Sharing. You can see the deployment settings of this app for those services in the repository.
What are some alternatives?
spark-nlp - State of the Art Natural Language Processing
ssl-proxy - :lock: Simple zero-config SSL reverse proxy with real autogenerated certificates (LetsEncrypt, self-signed, provided)
spark-nlp-display - A library for the simple visualization of different types of Spark NLP annotations.
streamlit-webrtc - Real-time video and audio streams over the network, with Streamlit.
frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet
opyrator - 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
streamlit-audio-recorder - Record Audio from the User's Microphone in Apps that are Deployed to the Web. (via Browser Media-API, REACT-based, Streamlit Custom Component)
PromCSE - Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
text-to-text-transfer-transformer - Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
audio-recorder-streamlit