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dalle-preview implementation
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alonstern committed Dec 2, 2022
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131 changes: 131 additions & 0 deletions .gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
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# Spyder project settings
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# mypy
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22 changes: 22 additions & 0 deletions Pipfile
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[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[packages]
requests = "*"
aiohttp = "*"
dynamodb-json = "*"
typing-extensions = "*"
joblib = "*"
tabulate = "*"

[dev-packages]
pipenv = "*"

[requires]
python_version = "3.9"

[scripts]
package = "bash -c 'pipenv run pip install -r <(pipenv requirements) --target _build/dependencies && cd _build/dependencies && zip -r ../package.zip . && cd ../../src && zip -gr ../_build/package.zip .'"
deploy = "bash -c 'cd terraform && terraform apply'"
599 changes: 599 additions & 0 deletions Pipfile.lock

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24 changes: 24 additions & 0 deletions README.md
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# Dalle Preview

__The fastest way to generate [Dalle 2](https://openai.com/dall-e-2/) images__

This project uses the [Open Graph Protocol](https://ogp.me/) to enable creating and sending Dalle 2 images right from your messaging apps.


## Usage

Write `https://dalle-preview.co/<your image description>` in WhatsApp/Discord/Facebook/etc.. and a preview of the generated image will appear (it can take a couple of seconds for the preview to appear).

![Example](example.gif)

## Deploying to AWS

First, generate the package for the AWS lambda by running:
```
pipenv run package
```

Then, deploy all the AWS services by running:
```
pipenv run deploy -var="domain=<the domain name of your web service>" -var="dalle_api_key=<the api key for using the Dalle API>"
```
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95 changes: 95 additions & 0 deletions src/main.py
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import re
import boto3
import os
import requests
import urllib.parse

BUCKET_NAME = 'dalle-preview-images'

def _parse_prompt(raw_prompt):
return urllib.parse.unquote(raw_prompt).replace('_', ' ')

def _create_response(body, status):
return {
'statusCode': status,
'headers': {
'Content-Type': 'text/html'
},
'isBase64Encoded': False,
'multiValueHeaders': {
},
'body': body,
}

def _create_success_response(prompt, url):
html_page = f'''
<html prefix="og: https://ogp.me/ns#">
<head>
<title>Dalle 2 Preview</title>
<meta property="og:title" content="{prompt}" />
<meta property="og:image" content="{url}" />
<meta name="twitter:title" content="{prompt}">
<meta name="twitter:image" content="{url}">
</head>
<img src="{url}"/>
</html>
'''
return _create_response(html_page, 200)

def isInS3(s3, prompt):
try:
s3.head_object(Bucket=BUCKET_NAME, Key=prompt)
return True
except Exception:
return False

def main(event, context):
prompt = _parse_prompt(event['pathParameters']['prompt'])

print(f'Prompt: {prompt}')

if not re.match('^[a-zA-Z0-9\s]+$', prompt):
return {
'statusCode': 301,
'headers': {
'Content-Type': 'text/html',
'Location': '/suspicious_duck',
},
'isBase64Encoded': False,
'multiValueHeaders': {
},
}

s3 = boto3.client('s3')

if not isInS3(s3, prompt):
api_token = os.environ.get('DALLE_API_KEY')
response = requests.post(
'https://api.openai.com/v1/images/generations',
json={
'prompt': prompt,
'n': 1,
'size': '256x256'
},
headers={
'Authorization': f'Bearer {api_token}'
}
)

image_url = response.json()['data'][0]['url']

response = requests.get(image_url, stream=True)

s3.upload_fileobj(response.raw, BUCKET_NAME, prompt, { 'ContentType': 'image/jpeg'})

url = s3.generate_presigned_url(
'get_object',
Params={
'Bucket': BUCKET_NAME,
'Key': prompt
},
ExpiresIn=300,
)
return _create_success_response(prompt, url)
4 changes: 4 additions & 0 deletions terraform/.gitignore
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.terraform
terraform.tfstate
terraform.tfstate.backup
*.tfvars
25 changes: 25 additions & 0 deletions terraform/.terraform.lock.hcl

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49 changes: 49 additions & 0 deletions terraform/main.tf
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terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 4.0"
}
}
}

locals {
region = "eu-west-1"
}

# Configure the AWS Provider
provider "aws" {
region = "eu-west-1"
profile = "Alon"
}

variable "dalle_api_key" {
description = "API key to access Dalle 2"
type = string
}

variable "domain" {
description = "The domain name for the web service"
type = string
}

module "db" {
source = "./modules/db"
}

module "lambda" {
source = "./modules/lambda"
dalle_api_key = var.dalle_api_key
bucket_arn = module.db.bucket_arn
}

data "aws_caller_identity" "current" {}

module "gateway" {
source = "./modules/gateway"
lambda_function_name = module.lambda.lambda_function_name
lambda_invoke_arn = module.lambda.lambda_invoke_arn
region = local.region
account_id = data.aws_caller_identity.current.account_id
domain = var.domain
}
8 changes: 8 additions & 0 deletions terraform/modules/db/main.tf
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resource "aws_s3_bucket" "images" {
bucket = "dalle-preview-images"
}

resource "aws_s3_bucket_acl" "images" {
bucket = aws_s3_bucket.images.id
acl = "private"
}
3 changes: 3 additions & 0 deletions terraform/modules/db/output.tf
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output "bucket_arn" {
value = aws_s3_bucket.images.arn
}
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