liboai
streamlit
liboai | streamlit | |
---|---|---|
82 | 258 | |
293 | 31,868 | |
- | 2.4% | |
6.9 | 9.8 | |
26 days ago | 2 days ago | |
C++ | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
liboai
-
Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.
-
Top 9 AI APIs you must try in 2024
1.OpenAI API
-
Build a Basketball SMS Chatbot with LangChain Prompt Templates in Python
OpenAI Account – make an OpenAI Account here
-
ML Trends To Blow Your Mind
Their big advantage is that they can quickly deal with data they’ve never seen before and scale. NVIDIA and Open AI are currently leading providers of such technologies. Read more.
-
liboai VS openai-cpp - a user suggested alternative
2 projects | 12 Apr 2023
-
Master ChatGPT with /shortcuts (+1 trillion prompts)
You need an API key https://openai.com/api
-
Computing power needed for running ChatGPT?
To run ChatGPT, you need access to OpenAI’s API3, which provides a cloud-based platform for interacting with various models, including ChatGPT. You can sign up for an account and request access to the API here: https://openai.com/api/
-
How to make an AI Image Generator yourself for free(easy)🖼️
To get started, go to OpenAI and create an account. After that, click on your profile on the top right corner, and select view API keys.
-
Pre-processing data to assemble in a database to try to apply GPT2 to it
As far as I know the ChatGPT API isn’t public yet. However you can use the GPT3 version from OpenAI which do have an API you can connect to. The Davinci-003 text model is pretty damn good. https://openai.com/api/ for more info
-
Which Free to use AI for content writing is the best?
GPT-3: GPT-3 is an advanced language generation model developed by OpenAI. It is capable of generating high-quality human-like text with a high degree of coherence and coherence. The model has been trained on a vast corpus of text, making it capable of generating text across a range of topics. GPT-3 can be used for a variety of content creation tasks such as blog posts, articles, and social media updates. One of the most significant advantages of using GPT-3 is that it can save a significant amount of time when creating content. The model can generate text much faster than a human writer, and the output can be used as a starting point for further refinement.
streamlit
-
Developing a Generic Streamlit UI to Test Amazon Bedrock Agents
I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.
-
Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
Streamlit (https://streamlit.io/)
-
PySheets – Spreadsheet UI for Python
Does it need to be live (i.e when database or underlying spreadsheet updates does it need to be reflected in real time on the dashboard) or are you ok with static display.
Live updating data is a pain I've messed around using javascript to force refresh html iframes on a timer. But I was never really satisfied with this. I've heard you can do things with websockets but that is starting to get too complicated for me (I'm not a programmer).
For static stuff one of the data scientists in my org pointed me to Streamlit (https://streamlit.io/) it's a python package I found very easy to use. Can easily combine SQL with CSV imports and display them all on one dashboard. Can use forms toggle butotns etc to control the display.
-
Building an Email Assistant Application with Burr
Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well.
-
Creating a Sales Analysis Application with Streamlit: A Practical Approach to Business Intelligence
2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.
-
🦙 Llama-2-GGML-CSV-Chatbot 🤖
Developed using Langchain and Streamlit technologies for enhanced performance.
-
Python dev considering Electron vs. Kivy for desktop app UI
Hello,
Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.
-
Show HN: Buefy Web Components for Streamlit
While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.
Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.
Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.
Demo: https://streamfy.streamlit.app
All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.
Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]
Thanks!
[1] https://github.com/streamlit/streamlit/issues/5348
-
Simplify Web App Development: Code Lite, Create Big!
Here's your savior, let's welcome Streamlit.
-
Show HN: Hyperdiv – Reactive, immediate-mode web UI framework for Python
Looks cool. How do you see this differing from streamlit? https://streamlit.io/
What are some alternatives?
OpenAI C++ - OpenAI C++ is a community-maintained library for the Open AI API
PyWebIO - Write interactive web app in script way.
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
openai-node - The official Node.js / Typescript library for the OpenAI API
nicegui - Create web-based user interfaces with Python. The nice way.
LongtermChatExternalSources - GPT-3 chatbot with long-term memory and external sources
superset - Apache Superset is a Data Visualization and Data Exploration Platform
whatsapp-chatgpt - ChatGPT + DALL-E + WhatsApp = AI Assistant :rocket: :robot:
reflex - 🕸️ Web apps in pure Python 🐍
chatGPT-SMS-js - ChatGPT over SMS using Twilio Programmable Messaging, Twilio Serverless Toolkit, OpenAI API, Node.js
PySimpleGUI - Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.