GPT Deploy: One line to create them all 🧙🚀

Turn your natural language descriptions into fully functional, deployed microservices with a single command! Your imagination is the limit!

This project streamlines the creation and deployment of microservices. Simply describe your task using natural language, and the system will automatically build and deploy your microservice. To ensure the microservice accurately aligns with your intended task a test scenario is required.

Quickstart

Installation

pip install gptdeploy
gptdeploy configure --key <your openai api key>

If you set the environment variable OPENAI_API_KEY, the configuration step can be skipped.

run

gptdeploy create --description "Given a PDF, return it's text" --test "https://www.africau.edu/images/default/sample.pdf"

To create your personal microservice two things are required:

• A description of the task you want to accomplish.
• A test scenario that ensures the microservice works as expected.

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 you test scenario pass. Once the microservice is created and deployed, you can test it using the generated Streamlit playground.

Overview

The graphic below illustrates the process of creating a microservice and deploying it to the cloud.

graph TB
    AA[Task: Generate QR code from URL] --> B{think a}
    AB[Test: https://www.example.com] --> B{think a}
    B -->|Identify Strategie 1| C[Strategy 1]
    B -->|Identify Strategie 2| D[Strategy 2]
    B -->|Identify Strategie N| E[Strategy N]
    C --> F[executor.py, test_executor.py, requirements.txt, Dockerfile]
    D --> G[executor.py, test_executor.py, requirements.txt, Dockerfile]
    E --> H[executor.py, test_executor.py, requirements.txt, Dockerfile]
    F --> I{Build Image}
    G --> I
    H --> I
    I -->|Fail| J[Apply Fix and Retry]
    J --> I
    I -->|Success| K[Push Docker Image to Registry]
    K --> L[Deploy Microservice]
    L --> M[Create Streamlit Playground]
    M --> N[User Tests Microservice]

1. GPT Deploy identifies several strategies to implement your task.
2. It tests each strategy until it finds one that works.
3. For each strategy, it creates the following files:

• executor.py: This is the main implementation of the microservice.
• test_executor.py: These are test cases to ensure the microservice works as expected.
• requirements.txt: This file lists the packages needed by the microservice and its tests.
• Dockerfile: This file is used to run the microservice in a container and also runs the tests when building the image.

4. GPT Deploy 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.
5. Once it finds a successful strategy, it:

• Pushes the Docker image to the registry.
• Deploys the microservice.
• Creates a Streamlit playground where you can test the microservice.

6. If it fails 10 times in a row, it moves on to the next approach.

Examples

Rhyme Generator

gptdeploy create --description "Given a word, return a list of rhyming words using the datamuse api" --test "hello"

3d model info

gptdeploy create --description "Given a 3d object, return vertex count and face count" --test "https://raw.githubusercontent.com/polygonjs/polygonjs-assets/master/models/wolf.obj"

Table extraction

--description "Given a URL, extract all tables as csv" --test "http://www.ins.tn/statistiques/90"

Audio to mel spectrogram

gptdeploy create --description "Create mel spectrograms from audio file" --test "https://cdn.pixabay.com/download/audio/2023/02/28/audio_550d815fa5.mp3"

Text to speech

gptdeploy create --description "Convert text to speech" --test "Hello, welcome to GPT Deploy!"

Your browser does not support the audio element.

QR Code Generator

gptdeploy create --description "Generate QR code from URL" --test "https://www.example.com"

TO BE TESTED

ASCII Art Generator

gptdeploy create --description "Convert image to ASCII art" --test "https://images.unsplash.com/photo-1602738328654-51ab2ae6c4ff"

Color Palette Generator

gptdeploy create --description "creates aesthetically pleasing color palettes based on a seed color, using color theory principles like complementary or analogous colors" --test "red"

Password Strength Checker

gptdeploy create --description "Given a password, return a score from 1 to 10 indicating the strength of the password" --test "Pa$$w0rd"

Morse Code Translator

gptdeploy create --description "Convert text to morse code" --test "Hello, welcome to GPT Deploy!"

IP Geolocation

gptdeploy create --description "Given an IP address, return the geolocation information" --test "142.251.46.174"

Currency Converter

gptdeploy create --description "Converts any currency into any other" --test "1 usd to eur"

Image Resizer

gptdeploy create --description "Given an image, resize it to a specified width and height" --test "https://images.unsplash.com/photo-1602738328654-51ab2ae6c4ff"

Weather API

gptdeploy create --description "Given a city, return the current weather" --test "Berlin"

Sudoku Solver

gptdeploy create --description "Given a sudoku puzzle, return the solution" --test "[[2, 5, 0, 0, 3, 0, 9, 0, 1], [0, 1, 0, 0, 0, 4, 0, 0, 0], [4, 0, 7, 0, 0, 0, 2, 0, 8], [0, 0, 5, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 9, 8, 1, 0, 0], [0, 4, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 3, 6, 0, 0, 7, 2], [0, 7, 0, 0, 0, 0, 0, 0, 3], [9, 0, 3, 0, 0, 0, 6, 0, 4]]"

Carbon Footprint Calculator

gptdeploy create --description "Estimate a company's carbon footprint based on factors like transportation, electricity usage, waste production etc..." --test "Jina AI"

Real Estate Valuation Estimator

gptdeploy create --description "Create a microservice that estimates the value of a property based on factors like location, property type, age, and square footage." --test "Berlin Friedrichshain, Flat, 100m², 10 years old"

Gene Sequence Alignment

gptdeploy create --description "Align two DNA or RNA sequences using the Needleman-Wunsch algorithm" --test "AGTC, GTCA"

Markdown to HTML Converter

gptdeploy create --description "Convert markdown to HTML" --test "# Hello, welcome to GPT Deploy!"

Barcode Generator

gptdeploy create --description "Generate a barcode from a string" --test "Hello, welcome to GPT Deploy!"

File Compression

gptdeploy create --description "Compress a file using the gzip algorithm" --test "content of the file: Hello, welcome to GPT Deploy!"

Meme Generator

gptdeploy create --description "Generate a meme from an image and a caption" --test "Surprised Pikachu: https://media.wired.com/photos/5f87340d114b38fa1f8339f9/master/w_1600%2Cc_limit/Ideas_Surprised_Pikachu_HD.jpg, TOP:When you see GPT Deploy create and deploy a microservice in seconds"

Watermarking Images

gptdeploy create --description "Add a watermark (GPT Deploy) to an image" --test "https://images.unsplash.com/photo-1602738328654-51ab2ae6c4ff"

File Metadata Extractor

gptdeploy create --description "Extract metadata from a file" --test "https://images.unsplash.com/photo-1602738328654-51ab2ae6c4ff"

Video Thumbnail Extractor

gptdeploy create --description "Extract a thumbnail from a video" --test "http://techslides.com/demos/sample-videos/small.mp4"

Gif Maker

gptdeploy create --description "Create a gif from a list of images" --test "https://images.unsplash.com/photo-1564725075388-cc8338732289, https://images.unsplash.com/photo-1584555684040-bad07f46a21f, https://images.unsplash.com/photo-1584555613497-9ecf9dd06f68"

Heatmap Generator

gptdeploy create --description "Create a heatmap from an image and a list of relative coordinates" --test "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]]"

Open Challenges

Chemical Structure Drawing

gptdeploy create --description "Convert a chemical formula into a 2D chemical structure diagram" --test "C6H6"

🔮 vision

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

TODO

critical

• add buttons to README.md
• fix problem with package installation
• add more interesting examples to README.md
• api key in install instruction
• add instruction about cleanup of deployments
• add logo

Nice to have

• hide prompts in normal mode and show them in verbose mode
• tests
• clean up duplicate code
• support popular cloud providers - lambda, cloud run, cloud functions, ...
• support local docker builds
• autoscaling enabled for cost saving
• don't show this message: 🔐 You are logged in to Jina AI as florian.hoenicke (username:auth0-unified-448f11965ce142b6). To log out, use jina auth logout.
• add more examples to README.md
• support multiple endpoints - example: todolist microservice with endpoints for adding, deleting, and listing todos
• support stateful microservices
• The playground is currently printed twice even if it did not change. Make sure it is only printed twice in case it changed.
• allow to update your microservice by providing feedback
• bug: it can happen that the code generation is hanging forever - in this case aboard and redo the generation
• feat: make playground more stylish by adding attributes like: clean design, beautiful, like it was made by a professional designer, ...
• support for other large language models like ChatGLM]

challenging tasks:

• The executor takes an image as input and returns a list of bounding boxes of all animals in the image.
• The executor takes 3D objects in obj format as input and outputs a 2D image rendering of that object where the full object is shown.
• The executor takes an mp3 file as input and returns bpm and pitch.
• The executor takes a url of a website as input and returns the logo of the website as an image.