I have fake job analysis dataset. It contains some text data and numeric data. I preprocessed the text data with nltk and gensim obtained numeric output for that text and use that text data along with numeric data for model building. Now I want to deploy this model using streamlit. While doing so I want to provide the user with text inputs with input names that match with my text data columns in dataset. Also i will have preprocess the text data coming from user get numeric output and merge it with numeric data that user will be asked to provide and then take my model for prediction. I am able to load the streamlit UI but it is taking too much of time to run and load. How can i optimize it. I used st.cache_data but it throwing me errors of Unserialization.
@Saish_Sawant - I’ve moved your post to the ‘Using Streamlit’ category
Can you share a repo?