https://github.com/rodolfoferro/streamlit-example

Example of ML app using Streamlit.
https://github.com/rodolfoferro/streamlit-example

python streamlit

Last synced: 4 months ago
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Example of ML app using Streamlit.

• Host: GitHub
• URL: https://github.com/rodolfoferro/streamlit-example
• Owner: RodolfoFerro
• License: mit
• Created: 2020-08-26T21:36:55.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-09-17T19:57:44.000Z (over 1 year ago)
• Last Synced: 2024-09-18T00:14:53.796Z (over 1 year ago)
• Topics: python, streamlit
• Language: Python
• Homepage: https://rodo-sample.streamlit.app/
• Size: 19.5 KB
• Stars: 15
• Watchers: 2
• Forks: 13
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Example of an ML web app using Streamlit 🌱

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[![Slides](https://img.shields.io/static/v1?label=Slides&message=Google%20Slides&color=tomato&logo=google&logoColor=fff&style=for-the-badge)](https://docs.google.com/presentation/d/e/2PACX-1vTBfub0FyiWLf_4NEnH7Ob6BHJtQaSsr1iqSC5C8deVtXWEbx9-o8i_03FS-qf6mk0jhKdUno1KtqAs/pub?start=false&loop=false&delayms=3000)

This repository contains code to build a Streamlit web app that serves an Iris classifier.

## Prerequisities

Before you begin, ensure you have met the following requirements:

* You have a _Windows/Linux/Mac_ machine running [Python 3.6+](https://www.python.org/).

* You have installed the latest versions of [`pip`](https://pip.pypa.io/en/stable/installing/) and [`virtualenv`](https://virtualenv.pypa.io/en/stable/installation/) or `conda` ([Anaconda](https://www.anaconda.com/distribution/)).

## Setup

To install the dependencies, you can simply follow this steps.

Clone the project repository:

```bash

git clone https://github.com/RodolfoFerro/streamlit-example.git

cd streamlit-example

```

To create and activate the virtual environment, follow these steps:

**Using `conda`**

```bash

$ conda create -n streamlit python=3.7

# Activate the virtual environment:

$ conda activate streamlit

# To deactivate (when you're done):

(streamlit)$ conda deactivate

```

**Using `virtualenv`**

```bash

# In this case I'm supposing that your latest python3 version is 3.7

$ virtualenv streamlit --python=python3

# Activate the virtual environment:

$ source streamlit/bin/activate

# To deactivate (when you're done):

(streamlit)$ deactivate

```

To install the requirements using `pip`, once the virtual environment is active:

```bash

(streamlit)$ pip install -r requirements.txt

```

#### Running the script

Finally, if you want to run the main script:

```bash

(streamlit)$ streamlit run app.py

```

#### Extend code!

Please feel free to use this repo as a template to extend code!