https://github.com/aidoskanapyanov/big-mac-index-streamlit
Hi everyone! 👋 I've made this cool tutorial on how you can make your own web application using Streamlit.
https://github.com/aidoskanapyanov/big-mac-index-streamlit
datascience economics softwaredevelopment streamlit tutorial
Last synced: 3 months ago
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Hi everyone! 👋 I've made this cool tutorial on how you can make your own web application using Streamlit.
- Host: GitHub
- URL: https://github.com/aidoskanapyanov/big-mac-index-streamlit
- Owner: aidoskanapyanov
- License: mit
- Created: 2022-07-28T11:16:15.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-09-06T05:39:18.000Z (over 2 years ago)
- Last Synced: 2023-04-11T04:41:31.642Z (about 2 years ago)
- Topics: datascience, economics, softwaredevelopment, streamlit, tutorial
- Language: Jupyter Notebook
- Homepage: https://www.linkedin.com/pulse/lets-build-big-mac-index-web-application-using-aidos-kanapyanov/
- Size: 102 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# The Big Mac index Streamlit app
This is a tutorial project for how you can make The Big Mac index web application using [Streamlit](https://streamlit.io).
## Demo
Click this [link](https://aidoskanapyanov-big-mac-index-strea-srcthe-big-mac-index-xul5n0.streamlitapp.com/) to see the demo app.
Here is the GIF:
## Documentation
Link to the LinkedIn tutorial article is [here](https://www.linkedin.com/pulse/lets-build-big-mac-index-web-application-using-aidos-kanapyanov/).
## Run Locally
Clone the project
```bash
git clone https://github.com/aidoskanapyanov/big-mac-index-streamlit.git
```
Install dependencies
```bash
python3 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install poetry
poetry install
```
Start the web application
```bash
streamlit run src/the_big_mac_index.py
```
## Deployment
Follow these steps to deploy this project to streamlit:
- Publish this project to your github account 📁
- Sign up to share.streamlit.io
- Press the "New app" button and choose your repository 🆕
- Specify the "Main file path" as src/the_big_mac_index.py 📝
- Press "Deploy!" and now you have your own cool web application! 🎉
## Acknowledgements
- Thanks for [Streamlit](https://streamlit.io) for creating an awesome easy to use platform for
data scientists.
## Authors
- [@aidoskanapyanov](https://github.com/aidoskanapyanov)
## Badges
[](https://choosealicense.com/licenses/mit/)