Streamlit Libraries

23 Components & Libraries

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Streamlit Libraries

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and…

🔮Pythonic App Framework from Future : Build ⚡Blazing Fast , 🤖Self-Modifying Apps!

Build apps —effortlessly and quickly ⚡. It simplifies Pythonic development for everything from backends to frontends (yes, visually 🦚stunning frontends in Python!), AI integrations, APIs, and beyond—…

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

This project provides This repo is maintained by me :-) Thanks In the pull request you should Thanks. In the pull request you should Please note that your app should not require high compute power as…

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If that sounds like a lot, don't worry. After you cover this course, you will understand everything we said before. Most importantly, you will know WHY we used all these tools and how they work toget…

Transform audio-visual content into navigable knowledge.

FrogBase currently provides functionality to: This section is for software developers who want to use FrogBase as a python package. Import FrogBase and use it as follows - This section is for non-tec…

Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.

Copy this code snippet: Example: Both webpack dev server and Streamlit should run at the same time.

Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js

Note: If possible register your account with a company email address. Once you have a subscription id apply for Azure Open AI Service here: GenEng revolution being led by developers who build deep pr…

Simple web app example serving a PyTorch model using streamlit and FastAPI

To run the example in a machine running Docker and docker compose, run: Logs can be inspected via:

🪄 Auto-generate Streamlit UI from Pydantic Models and Dataclasses.

To build the project and run the style/linter checks, execute:

Repository for Project Insight: NLP as a Service

The downstream NLP tasks covered: News Classification Entity Recognition Sentiment Analysis Summarization The user can select different models from the drop down to run the inference. The users can a…

SEO Python scripts and Apps by LeeFootSEO

Here’s a snapshot of what you’ll find in this repository: Contributions, suggestions, and feedback are always welcome! If you have ideas on how to improve these scripts or want to share your experien…

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Extraction is a general term for methods of constructing combinations of the variables to get around these problems while still describing the data with sufficient accuracy Data visualization is the …

🔐Free GPT-3.5 chat with your docs (PDF, WORD, CSV, TXT)

Additionally, you can deploy the app anywhere based on the document. Provide two models: LangChain is a framework for developing applications powered by language models. It supports the following app…

Image comparison slider component for Streamlit

Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.

Profitable stocks and crypto trading involves a lot of know how and experience in Technical Analysis. However, the fundamentals behind technical analysis techniques, tools, resources and effective st…

Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)

Moreover, you may find here some Colab notebooks without a theoretical tutorial (yet). I decided to upload the code before I finished writing the theoretical part (this would be indicated). I am co…

Using the GPT3 Language model, I create a web application that generates convincing looking emails and then sends them via Gmail. The user interacts with a frontend made with Streamlit

style transfer web app [FastAPI + streamlit + Docker]

Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this project was created using Streamlit. Written with python using jupyter notebook for the main project flow/analysis and visual studio code for writing custom functions and creating the dashboard.

The contents of this repository is an analysis of using machine learning models to predict depression in people using health care data. This analysis is detailed in hopes of making the work accessibl…

YOLOv8-Object-Detection-Tracking-Image-Segmentation-Pose-Estimation

YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.

The app can be deployed using Docker Compose using the following command: If you want to deploy the app using the official container from Docker Hub, use the following commands:

Transform text into images and images into new ones using AI. Our user-friendly web app, built with Diffusion, Python, and Streamlit, offers customizable outputs in various styles and formats

In this version, we've added two major features to the project: We've also made the following improvements and bug fixes: We hope these updates will improve the overall functionality and user experie…