GitHub - jina-ai/dev-gpt: Your Virtual Development Team (original) (raw)

⚠️ This is an experimental version. ⚠️

Tell your AI team what microservice you want to build, and they will do it for you. Your imagination is the limit!

Test Coverage Package version Supported Python versions Supported platforms Downloads

Welcome to Dev-GPT, where we bring your ideas to life with the power of advanced artificial intelligence! Our automated development team is designed to create microservices tailored to your specific needs, making your software development process seamless and efficient. Comprised of a virtual Product Manager, Developer, and DevOps, our AI team ensures that every aspect of your project is covered, from concept to deployment.

Quickstart

pip install dev-gpt dev-gpt generate

Requirements

dev-gpt configure --openai_api_key dev-gpt configure --google_api_key (optional if you want to use google custom search) dev-gpt configure --google_cse_id (optional if you want to use google custom search)

If you set the environment variable OPENAI_API_KEY, the configuration step can be skipped. Your api key must have access to gpt-4 to use this tool. We are working on a way to use gpt-3.5-turbo as well.

Docs

Generate Microservice

dev-gpt generate
--description ""
--model <gpt-3.5-turbo or gpt-4>
--path </path/to/local/folder>

To generate your personal microservice two things are required:

The creation process should take between 5 and 15 minutes. During this time, GPT iteratively builds your microservice until it finds a strategy that make your test scenario pass.

Be aware that the costs you have to pay for openai vary between 0.50and0.50 and 0.50and3.00 per microservice using GPT-4 or 0.05to0.05 to 0.05to0.30 for GPT-3.5-Trubo.

Run Microservice

Run the microservice locally in docker. In case docker is not running on your machine, it will try to run it without docker. With this command a playground opens in your browser where you can test the microservice.

dev-gpt run --path

Deploy Microservice

If you want to deploy your microservice to the cloud a Jina account is required. When creating a Jina account, you get some free credits, which you can use to deploy your microservice ($0.025/hour). If you run out of credits, you can purchase more.

dev-gpt deploy --microservice_path

Delete Microservice

To save credits you can delete your microservice via the following commands:

jc list # get the microservice id jc delete

Examples

In this section you can get a feeling for the kind of microservices that can be generated with Dev-GPT.

Compliment Generator

dev-gpt generate
--description "The user writes something and gets a related deep compliment."
--model gpt-4

Compliment Generator

Extract and summarize news articles given a URL

dev-gpt generate
--description "Extract text from a news article URL using Newspaper3k library and generate a summary using gpt. Example input: http://fox13now.com/2013/12/30/new-year-new-laws-obamacare-pot-guns-and-drones/"
--model gpt-4

News Article Example

Chemical Formula Visualization

dev-gpt generate
--description "Convert a chemical formula into a 2D chemical structure diagram. Example inputs: C=C, CN=C=O, CCC(=O)O"
--model gpt-4

Chemical Formula Visualization

2d rendering of 3d model

dev-gpt generate
--description "create a 2d rendering of a whole 3d object and x,y,z object rotation using trimesh and pyrender.OffscreenRenderer with os.environ['PYOPENGL_PLATFORM'] = 'egl' and freeglut3-dev library - example input: https://graphics.stanford.edu/courses/cs148-10-summer/as3/code/as3/teapot.obj"
--model gpt-4

2D Rendering of 3D Model

Product Recommendation

dev-gpt generate
--description "Generate personalized product recommendations based on user product browsing history and the product categories fashion, electronics and sport. Example: Input: browsing history: prod1(electronics),prod2(fashion),prod3(fashion), output: p4(fashion)"
--model gpt-4

Product Recommendation

dev-gpt generate
--description "Given a search query, find articles on hacker news using the hacker news api and return a list of (title, author, website_link, first_image_on_the_website)"
--model gpt-4

Hacker News Search

Animal Detector

dev-gpt generate
--description "Given an image, return the image with bounding boxes of all animals (https://pjreddie.com/media/files/yolov3.weights, https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg), Example input: https://images.unsplash.com/photo-1444212477490-ca407925329e"
--model gpt-4

Animal Detector

Meme Generator

dev-gpt generate
--description "Generate a meme from an image and a caption. Example input: https://media.wired.com/photos/5f87340d114b38fa1f8339f9/master/w_1600%2Cc_limit/Ideas_Surprised_Pikachu_HD.jpg, TOP:When you discovered GPT Dev"
--model gpt-4

Meme Generator

Rhyme Generator

dev-gpt generate
--description "Given a word, return a list of rhyming words using the datamuse api"
--model gpt-4

Rhyme Generator

Word Cloud Generator

dev-gpt generate
--description "Generate a word cloud from a given text"
--model gpt-4

Word Cloud Generator

3d model info

dev-gpt generate
--description "Given a 3d object, return vertex count and face count. Example: https://raw.githubusercontent.com/polygonjs/polygonjs-assets/master/models/wolf.obj"
--model gpt-4

3D Model Info

Table extraction

dev-gpt generate
--description "Given a URL, extract all tables as csv. Example: http://www.ins.tn/statistiques/90"
--model gpt-4

Table Extraction

Audio to mel spectrogram

dev-gpt generate
--description "Create mel spectrogram from audio file. Example: https://cdn.pixabay.com/download/audio/2023/02/28/audio_550d815fa5.mp3"
--model gpt-4

Audio to Mel Spectrogram

Text to speech

dev-gpt generate
--description "Convert text to speech"
--model gpt-4

Text to Speech

Your browser does not support the audio element.

Heatmap Generator

dev-gpt generate
--description "Create a heatmap from an image and a list of relative coordinates. Example input: https://images.unsplash.com/photo-1574786198875-49f5d09fe2d2, [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6], [0.2, 0.1], [0.7, 0.2], [0.4, 0.2]]"
--model gpt-4

Heatmap Generator

QR Code Generator

dev-gpt generate
--description "Generate QR code from URL. Example input: https://www.example.com"
--model gpt-4

QR Code Generator

Mandelbrot Set Visualizer

dev-gpt generate
--description "Visualize the Mandelbrot set with custom parameters. Example input: center=-0+1i, zoom=1.0, size=800x800, iterations=1000"
--model gpt-4

Mandelbrot Set Visualizer

Markdown to HTML Converter

dev-gpt generate --description "Convert markdown to HTML"

Markdown to HTML Converter

Technical Insights

The graphic below illustrates the process of creating a microservice and deploying it to the cloud elaboration two different implementation strategies.

graph TB

description[description: generate QR code from URL] --> make_strat{think a}

test[test: https://www.example.com] --> make_strat[generate strategies]

make_strat --> implement1[implement strategy 1]

implement1 --> build1{build image}

build1 -->|error message| implement1

build1 -->|failed 10 times| implement2[implement strategy 2]

build1 -->|success| registry[push docker image to registry]

implement2 --> build2{build image}

build2 -->|error message| implement2

build2 -->|failed 10 times| all_failed[all strategies failed]

build2 -->|success| registry[push docker image to registry]

registry --> deploy[deploy microservice]

deploy --> streamlit[generate streamlit playground]

streamlit --> user_run[user tests microservice]

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  1. Dev-GPT identifies several strategies to implement your task.
  2. It tests each strategy until it finds one that works.
  3. For each strategy, it generates the following files:
  1. Dev-GPT attempts to build the image. If the build fails, it uses the error message to apply a fix and tries again to build the image.
  2. Once it finds a successful strategy, it:
  1. If it fails 10 times in a row, it moves on to the next approach.

🔮 vision

Use natural language interface to generate, deploy and update your microservice infrastructure.

✨ Contributors

If you want to contribute to this project, feel free to open a PR or an issue. In the following, you can find a list of things that need to be done.

next steps:

Nice to have:

Proposal: