├── streamlit-app-chatgpt.py ├── prompts.txt ├── README.md ├── LICENSE ├── template-amended.yaml ├── template-chatgpt.yaml └── .gitignore /streamlit-app-chatgpt.py: -------------------------------------------------------------------------------- 1 | import streamlit as st 2 | from transformers import pipeline 3 | 4 | # Set the title of the application 5 | st.title("A sentiment analyser written by ChatGPT") 6 | 7 | # Create the input text field 8 | text = st.text_input("Enter some text to analyse:") 9 | 10 | # Use the Hugging Face Pipeline API to create a sentiment classifier 11 | sentiment_classifier = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english") 12 | 13 | # Evaluate the text entered by the user and display the result 14 | if text: 15 | result = sentiment_classifier(text)[0] 16 | st.write(f"Predicted sentiment: {result['label']}") -------------------------------------------------------------------------------- /prompts.txt: -------------------------------------------------------------------------------- 1 | To generate the CloudFormation Template: 2 | 3 | Write a CloudFormation Template that creates a new security group with ports 22 and 8501 open and that launches a g4dn.xlarge EC2 instance with name “chatgpt-demo” and with AMI ID ami-09f85944838b438c5. It should activate the pre-built pytorch environment and install the libraries “transformers” and “streamlit” via pip. 4 | 5 | -------- 6 | 7 | To generate the Streamlit app: 8 | 9 | Done! Now write a Streamlit application with an input text field and that uses the Hugging Face Pipeline API to create a sentiment classifier with model "distilbert-base-uncased-finetuned-sst-2-english” to evaluate the text. The title of the application should be “A sentiment analyser written by ChatGPT”. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # chatgpt-demo 2 | A repository to demonstrate how [ChatGPT](https://chat.openai.com/) writes an entire AI application on AWS. This repository accompanies this [blog post](https://heiko-hotz.medium.com/i-used-chatgpt-to-create-an-entire-ai-application-on-aws-5b90e34c3d50) on Medium. 3 | 4 | In this repo you will find: 5 | - The prompts I used for generating the CloudFormation template and the Streamlit app: [prompts.txt](prompts.txt) 6 | - The template.yaml file generated by ChatGPT: [template-chatgpt.yaml](template-chatgpt.yaml) 7 | - The slightly corrected version edited by myself: [template-amended.yaml](template-amended.yaml) 8 | - The Streamlit application written by ChatGPT (need no edits): [streamlit-app-chatgpt.py](streamlit-app-chatgpt.py) 9 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 Heiko Hotz 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /template-amended.yaml: -------------------------------------------------------------------------------- 1 | AWSTemplateFormatVersion: '2010-09-09' 2 | Description: A simple CloudFormation template for creating a security group and launching an EC2 instance 3 | 4 | Resources: 5 | SecurityGroup: 6 | Type: AWS::EC2::SecurityGroup 7 | Properties: 8 | GroupName: chatgpt-demo-sg 9 | GroupDescription: Security group for chatgpt-demo EC2 instance 10 | SecurityGroupIngress: 11 | - IpProtocol: tcp 12 | FromPort: 22 13 | ToPort: 22 14 | CidrIp: 0.0.0.0/0 15 | - IpProtocol: tcp 16 | FromPort: 8501 17 | ToPort: 8501 18 | CidrIp: 0.0.0.0/0 19 | 20 | EC2Instance: 21 | Type: AWS::EC2::Instance 22 | Properties: 23 | InstanceType: g4dn.xlarge 24 | ImageId: ami-09f85944838b438c5 25 | SecurityGroups: 26 | - Ref: SecurityGroup 27 | UserData: 28 | 'Fn::Base64': | 29 | #!/bin/bash 30 | # Activate the pre-built pytorch environment 31 | source activate pytorch 32 | 33 | # Install the libraries "transformers" and "streamlit" via pip 34 | pip install transformers streamlit -------------------------------------------------------------------------------- /template-chatgpt.yaml: -------------------------------------------------------------------------------- 1 | AWSTemplateFormatVersion: '2010-09-09' 2 | Description: A simple CloudFormation template for creating a security group and launching an EC2 instance 3 | 4 | Resources: 5 | SecurityGroup: 6 | Type: AWS::EC2::SecurityGroup 7 | Properties: 8 | GroupName: chatgpt-demo-sg 9 | GroupDescription: Security group for chatgpt-demo EC2 instance 10 | SecurityGroupIngress: 11 | - IpProtocol: tcp 12 | FromPort: 22 13 | ToPort: 22 14 | CidrIp: 0.0.0.0/0 15 | - IpProtocol: tcp 16 | FromPort: 8501 17 | ToPort: 8501 18 | CidrIp: 0.0.0.0/0 19 | 20 | EC2Instance: 21 | Type: AWS::EC2::Instance 22 | Properties: 23 | InstanceType: g4dn.xlarge 24 | ImageId: ami-09f85944838b438c5 25 | SecurityGroups: 26 | - Ref: SecurityGroup 27 | UserData: 28 | 'Fn::Base64': | 29 | #!/bin/bash 30 | # Activate the pre-built pytorch environment 31 | source activate pytorch_p36 32 | 33 | # Install the libraries "transformers" and "streamlit" via pip 34 | pip install transformers streamlit -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | --------------------------------------------------------------------------------