dev-gpt/README.md

<h1 align="center">
GPT Deploy: One line to create them all 🧙🚀
</h1>


<p align="center">
<img src="res/gpt-deploy-logo.png" alt="Jina NOW logo" width="150px">
</p>
<p align="center">
Turn your natural language descriptions into fully functional, deployed microservices with a single command!
Your imagination is the limit!
</p>

<p align="center">
<a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/tiangolo/fastapi" target="_blank">
    <img src="https://coverage-badge.samuelcolvin.workers.dev/tiangolo/fastapi.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/gptdeploy" target="_blank">
    <img src="https://img.shields.io/pypi/v/gptdeploy?color=%2334D058&label=pypi%20package" alt="Package version">
</a>
<a href="https://pypi.org/project/gptdeploy" target="_blank">
    <img src="https://img.shields.io/pypi/pyversions/gptdeploy.svg?color=%2334D058" alt="Supported Python versions">
</a>
<a href="https://github.com/tiangolo/gptdeploy/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://img.shields.io/badge/platform-mac%20%7C%20linux%20%7C%20windows-blue" alt="Supported platforms">
</a>

[//]: # ([![Watch the video]&#40;https://i.imgur.com/vKb2F1B.png&#41;]&#40;https://user-images.githubusercontent.com/11627845/226220484-17810f7c-b184-4a03-9af2-3a977fbb014b.mov&#41;)

</p>
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
```bash
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
```bash
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.
```mermaid
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

### Meme Generator
```bash
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 discovered GPTDeploy"
```

<img src="res/meme_example.png" alt="Meme Generator" width="600" />

### Rhyme Generator
```bash
gptdeploy create --description "Given a word, return a list of rhyming words using the datamuse api" --test "hello"
```
<img src="res/rhyme_generator_example.png" alt="Rhyme Generator" width="600" />

### 3d model info
```bash
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"
```
<img src="res/obj_info_example.png" alt="3D Model Info" width="600" />

### Table extraction
```bash
--description "Given a URL, extract all tables as csv" --test "http://www.ins.tn/statistiques/90"
```
<img src="res/table_extraction_example.png" alt="Table Extraction" width="600" />

### Audio to mel spectrogram
```bash
gptdeploy create --description "Create mel spectrograms from audio file" --test "https://cdn.pixabay.com/download/audio/2023/02/28/audio_550d815fa5.mp3"
```
<img src="res/audio_to_mel_example.png" alt="Audio to Mel Spectrogram" width="600" />

### Text to speech
```bash
gptdeploy create --description "Convert text to speech" --test "Hello, welcome to GPT Deploy!"
```
<a href=res/text_to_speech_example.wav><img src="res/text_to_speech_example.png" alt="Text to Speech" width="600" /></a>

<audio controls>
  <source src="res/text_to_speech_example.wav" type="audio/mpeg">
  Your browser does not support the audio element.
</audio>

### Heatmap Generator
```bash
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]]"
```
<img src="res/heatmap_example.png" alt="Heatmap Generator" width="600" />

### QR Code Generator
```bash
gptdeploy create --description "Generate QR code from URL" --test "https://www.example.com"
```
<img src="res/qr_example.png" alt="QR Code Generator" width="600" />


## TO BE TESTED
### ASCII Art Generator
```bash
gptdeploy create --description "Convert image to ASCII art" --test "https://images.unsplash.com/photo-1602738328654-51ab2ae6c4ff"
```
### Password Strength Checker
```bash
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
```bash
gptdeploy create --description "Convert text to morse code" --test "Hello, welcome to GPT Deploy!"
```
### IP Geolocation
```bash
gptdeploy create --description "Given an IP address, return the geolocation information" --test "142.251.46.174"
```
### Currency Converter
```bash
gptdeploy create --description "Converts any currency into any other" --test "1 usd to eur"
```
### Image Resizer
```bash
gptdeploy create --description "Given an image, resize it to a specified width and height" --test "https://images.unsplash.com/photo-1602738328654-51ab2ae6c4ff"
```
### Weather API
```bash
gptdeploy create --description "Given a city, return the current weather" --test "Berlin"
```

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

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

### Barcode Generator
```bash
gptdeploy create --description "Generate a barcode from a string" --test "Hello, welcome to GPT Deploy!"
```

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

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

### File Metadata Extractor
```bash
gptdeploy create --description "Extract metadata from a file" --test "https://images.unsplash.com/photo-1602738328654-51ab2ae6c4ff"
```

### Video Thumbnail Extractor
```bash
gptdeploy create --description "Extract a thumbnail from a video" --test "http://techslides.com/demos/sample-videos/small.mp4"
```

### Gif Maker
```bash
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"
```

### Word Cloud Generator
```bash
gptdeploy create --description "Generate a word cloud from a given text" --test "Lorem ipsum dolor sit amet, consectetur adipiscing elit."
```

### Mandelbrot Set Visualizer
```bash
gptdeploy create --description "Visualize the Mandelbrot set with custom parameters" --test "center=-0.5+0i, zoom=1.0, size=800x800, iterations=1000"
```


## Upcoming Challenges
### Chemical Structure Drawing
```bash
gptdeploy create --description "Convert a chemical formula into a 2D chemical structure diagram" --test "C6H6"
```
### Color Palette Generator
```bash
gptdeploy create --description "creates aesthetically pleasing color palettes based on a seed color, using color theory principles like complementary or analogous colors" --test "red"
```

### Depth Map Generator
```bash
gptdeploy create --description "Generate a depth map from a 3d Object" --test "https://raw.githubusercontent.com/polygonjs/polygonjs-assets/master/models/wolf.obj"
```

### Bounding Box
```bash
gptdeploy create --description "Given an image, return the bounding boxes of all animals" --test "..."
```

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

## TODO
critical
- [ ] fix problem with package installation
- [ ] add instruction about cleanup of deployments

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
- [ ] for cost savings, it should be possible to insert less context during the code generation of the main functionality - no jina knowledge is required