利用streamlit快速搭建机器学习web展示demo.zip

# streamlit-web-ml 利用streamlit快速搭建机器学习web展示demo # 部署地址 https://streamlit-web-ml.herokuapp.com/ ## 怎样在Heroku发布Streamlit Apps * Create An Account Heroku by signing up. * Install Heroku CLI * Create Your Github Repository for your app * Build your app * Login to Heroku From the CLI ```sh heroku Login ``` * Create Your 3 Required Files(`setup.sh`,`Procfile`,`requirements.txt`) > Code for `setup.sh` ```sh mkdir -p ~/.streamlit/ echo "\ [general]\n\ email = \"[email protected]\"\n\ " > ~/.streamlit/credentials.toml echo "\ [server]\n\ headless = true\n\ enableCORS=false\n\ port = $PORT\n\ " > ~/.streamlit/config.toml ``` > Code for `setup.sh` (Alternate with no credentials.toml) ```sh mkdir -p ~/.streamlit/ echo "\ [server]\n\ headless = true\n\ port = $PORT\n\ enableCORS = false\n\ \n\ " > ~/.streamlit/config.toml ``` > Code For `Procfile` ```sh web: sh setup.sh && streamlit run your_app.py ``` > Code for `requirements.txt` ``` numpy==1.16.5 pandas==0.25.1 matplotlib==3.1.1 scikit-learn==0.21.3 streamlit==0.62.1 ``` * Create App with CLI ```sh heroku create name-of-your-app ``` * Commit and Push Your Code to Github ```sh git add your app git commit -m "your comment description" git push ``` * Push To Heroku to Deploy ```sh git push heroku master ``` # 所需要的配置文件 * Procfile * setup.sh * requirements.txt