dog-breed-streamlit-app

Steps:

1. Fill in the gaps in vectorize_dataset.ipynb, helpers.py

• then try to run the notebook
• check the shape of vectors dataframe - how many images do we have in the dataset?
• make sure that vectors.parquet was created

2. Go to app.py

• with the help of documentation https://docs.streamlit.io/library/get-started/create-an-app create your streamlit application

3. Go to Run Streamlit notebook in Deepnote or in your local terminal run

streamlit run app.py

Hint

In case you get stuck or you need an inspiration, take a sneak peek into the /answers/ folder

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Too easy? Try adding more complexity!

# enrich the page layout, add texts, input fields, plots - be creative :)

# add cats dataset from https://www.kaggle.com/datasets/ma7555/cat-breeds-dataset - ask the user if he/she/it is a cat or dog person and display the result image based on the answer

# push your project into GitHub repository and deploy your app to streamlit cloud https://streamlit.io/cloud

# or simply publish your Deepnote project and share it around!