I’m trying to let a user download a Fasttext model after it’s been trained. As far as I’m aware, I have to save it as a .bin file first (using model.save_model() as per Fasttext’s documentation). I can’t figure out how to get it to download from here, using the documentation for the download button.
Happy to help! As you’ve mentioned, a trained Fasttext model must be saved to a .bin file.
Once saved, it can be downloaded in a similar fashion to the last example in the st.download_button docs:
import streamlit as st
import fasttext
# Cache trained model
@st.experimental_singleton
def get_model():
model = fasttext.train_supervised(input="cooking.train")
return model
# Save trained model to file
def save_model(model, path="saved_model.bin"):
model.save_model(path)
model = get_model()
save_model(model, path="saved_model.bin")
# Download saved trained model
with open("saved_model.bin", "rb") as fp:
btn = st.download_button(
label="Download trained fasttext model",
data=fp,
file_name="fasttext_model.bin" # Any file name
)
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