A streamlit based webapp deployed at here
- LinkedIn Badge : how to create one for your profile?. Integrated using streamlit component
- Stackoverflow Flair : how to add a stackoverflow flair?. Integrated using streamlit component
- Career Snapshot: Built using streamlit_timeline
- Skills & Tools: Used streamlit buttons & columns features
- Education : Plotly(library for visualization) table
- Research Paper detailed brief description : streamlit images, streamlit metrics, streamlit expander & plotly.express grouped barplot
- Achievements : streamlit markdown (great to embed HTML codes)
- Medium profile : Basic web scrapping. Profile preview generated using pixelpoint's medium widget
- Daily routine : Graphviz library
- ML models integrated : Vanilla & Cycle GAN built using tensorflow
- cyclegan/ : weights for cyclegan model used for image translation
- vanilla_gan/ : weights for vanilla gan used
- images/ : images used for research paper section
- pdf/ : pdfs available for downloading on portfolio
- constant.py : File with all static data used.
- cycle.py : cycle_gan models
- vanilla_gan.py: vanilla_gan models
- requirements.txt : requirements file generated using pipreqs
- graph_builder.py : Daily routine graph using graphviz
- timeline.json : Json file used by streamlit_timeline for career snapshot
- Once confirm your app runds fine on localhost. Check using
streamlit run streamlit_app.py
- Create requirements.txt.
- Push repo to github.
- Sign in https://streamlit.io/ using the same mail as for github account where code is pushed (for ease)
- Fill in the info & click deploy on the
