https://github.com/simonaco/25daysofserverless

Build your jokes generator using Machine Learning and Serverless
https://github.com/simonaco/25daysofserverless

25daysofserverless azure-functions python serverless textgenrnn

Last synced: 13 days ago
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Build your jokes generator using Machine Learning and Serverless

• Host: GitHub
• URL: https://github.com/simonaco/25daysofserverless
• Owner: simonaco
• License: mit
• Created: 2019-12-12T21:40:37.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-02-16T01:56:33.000Z (almost 2 years ago)
• Last Synced: 2024-12-16T18:49:20.098Z (17 days ago)
• Topics: 25daysofserverless, azure-functions, python, serverless, textgenrnn
• Language: Python
• Homepage:
• Size: 3.25 MB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 25daysofserverless

1. In the Azure Portal:

Create a function app which you will use in the next steps

Under the associated storage account for the function create a container named `jokes`

1. Clone repo

```bash

git clone [email protected]:simonaco/25daysofserverless.git

cd 25daysofserverless

npx func azure functionapp publish  --python

```

1. Train the model that you will upload to the created storage container

```bash

python3.7 -m venv .venv

source .venv/bin/activate

pip install -r requirements.txt  # inside the 25daysofserverless folder

python create_model.py        # trains the model for that you will use for your API

```

1. Go to the storage section in the azure portal and upload the resulting `textgenrnn_weights.hdf5`

1. This should trigger the function to execute. If everything has worked then you should see no errors in the Live Metrics stream.