Deployment(StreamlitApp)

• Requirements.txt file

• Github account

• Access to share.streamlit.io

1. Run the command 'pip freeze > requirements.txt' (Traditional way - Not recommended due to other packages) Alternate(Recommended) way install the package a) pip install pipreqs b) open the command prompt and run pipreqs 'path of the python file' Eg:- pipreqs C:\projects\streamlit or 'pipreqs .\'

2. Commit the app.py(code) files in to git hub repository. Refer the sample code in the Application section.
   • Application

     • Convert Image to Pencil Sketch Image

       # Image to Pencil sketch app
       import streamlit as st
       import numpy as np
       from PIL import Image
       import cv2
       
       st.set_option('deprecation.showfileUploaderEncoding', False)
       
       def dodgeV2(x, y):
           return cv2.divide(x, 255 - y, scale=256)
       
       def pencilsketch(inp_img):
           img_gray = cv2.cvtColor(inp_img, cv2.COLOR_BGR2GRAY)
           img_invert = cv2.bitwise_not(img_gray)
           img_smoothing = cv2.GaussianBlur(img_invert, (21, 21),sigmaX=0, sigmaY=0)
           final_img = dodgeV2(img_gray, img_smoothing)
           return(final_img)
       
       
       st.title("PencilSketcher App")
       st.write("This Web App is to help convert your photos to realistic Pencil Sketches")
       
       file_image = st.sidebar.file_uploader("Upload your Photos", type=['jpeg','jpg','png'])
       
       if file_image is None:
           st.write("You haven't uploaded any image file")
       
       else:
           input_img = Image.open(file_image)
           final_sketch = pencilsketch(np.array(input_img))
           st.write("**Input Photo**")
           st.image(input_img, use_column_width=True)
           st.write("**Output Pencil Sketch**")
           st.image(final_sketch, use_column_width=True)

     • Simple App

       import streamlit as st
       
       def main():
       	st.title('App Deployment')
       	st.subheader("Welcome to simple streamlit app")
       	st.text("Simple example")
       	st.balloons()
       
       if __name__ == '__main__':    
           main()

3. Login to https://share.streamlit.io/ and Select the github project and file location as shown in the steps below,
   • Steps:

     • Login to https://share.streamlit.io/ using github credentials and click on 'New app'

       

     • Enter the github repository, branch and file name (app.py) and click on 'Deploy'

       

     • Once deployment is successful it will generate the url https://share.streamlit.io/githubuser/projectname/application.py or https://share.streamlit.io/[user name]/[repo name]

     • Click on 'vertical dots' or 'manageapp' to show the details of the application log

       

       

https://docs.streamlit.io/en/stable/deploy_streamlit_app.html

https://github.com/SurendraRedd/MLStreamlitApp