daviddoji/Made-With-ML
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adding dotenv for credentials management

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Goku Mohandas
2023-09-15 09:44:38 -07:00
parent 0133795963
commit 097ffaadc8
9 changed files with 1713 additions and 1792 deletions
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42
README.md
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@@ -101,6 +101,17 @@ We'll start by setting up our cluster with the environment and compute configura
</details>
### Credentials
```bash
touch .env
```
```bash
# Inside .env
GITHUB_USERNAME="CHANGE_THIS_TO_YOUR_USERNAME" # ← CHANGE THIS
```bash
source .env
```
### Git setup
Create a repository by following these instructions: [Create a new repository](https://github.com/new) → name it `Made-With-ML` → Toggle `Add a README file` (**very important** as this creates a `main` branch) → Click `Create repository` (scroll down)
@@ -109,7 +120,7 @@ Now we're ready to clone the repository that has all of our code:
```bash
git clone https://github.com/GokuMohandas/Made-With-ML.git .
git remote set-url origin https://github.com/GITHUB_USERNAME/Made-With-ML.git # <-- CHANGE THIS to your username
git remote set-url origin https://github.com/$GITHUB_USERNAME/Made-With-ML.git # <-- CHANGE THIS to your username
git checkout -b dev
```
@@ -317,15 +328,7 @@ python madewithml/predict.py predict \
python madewithml/serve.py --run_id $RUN_ID
```
While the application is running, we can use it via cURL, Python, etc.:
```bash
# via cURL
curl -X POST -H "Content-Type: application/json" -d '{
"title": "Transfer learning with transformers",
"description": "Using transformers for transfer learning on text classification tasks."
}' http://127.0.0.1:8000/predict
```
Once the application is running, we can use it via cURL, Python, etc.:
```python
# via Python
@@ -341,13 +344,6 @@ python madewithml/predict.py predict \
ray stop # shutdown
```
```bash
export HOLDOUT_LOC="https://raw.githubusercontent.com/GokuMohandas/Made-With-ML/main/datasets/holdout.csv"
curl -X POST -H "Content-Type: application/json" -d '{
"dataset_loc": "https://raw.githubusercontent.com/GokuMohandas/Made-With-ML/main/datasets/holdout.csv"
}' http://127.0.0.1:8000/evaluate
```
</details>
<details open>
@@ -362,15 +358,7 @@ curl -X POST -H "Content-Type: application/json" -d '{
python madewithml/serve.py --run_id $RUN_ID
```
While the application is running, we can use it via cURL, Python, etc.:
```bash
# via cURL
curl -X POST -H "Content-Type: application/json" -d '{
"title": "Transfer learning with transformers",
"description": "Using transformers for transfer learning on text classification tasks."
}' http://127.0.0.1:8000/predict
```
Once the application is running, we can use it via cURL, Python, etc.:
```python
# via Python
@@ -399,7 +387,7 @@ export RUN_ID=$(python madewithml/predict.py get-best-run-id --experiment-name $
pytest --run-id=$RUN_ID tests/model --verbose --disable-warnings
# Coverage
python3 -m pytest --cov madewithml --cov-report html
python3 -m pytest tests/code --cov madewithml --cov-report html --disable-warnings
```
## Production