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import streamlit as st
from transformers import pipeline
# Load the pre-trained Finnish model
model_name = "TurkuNLP/bert-base-finnish-cased-v1"
nlp = pipeline("fill-mask", model=model_name)
st.title("Finnish Language Understanding App")
st.write("This app demonstrates understanding of the Finnish language.")
# User input
user_input = st.text_input("Enter a sentence in Finnish:")
if user_input:
st.write("You entered:", user_input)
# Use the model to predict masked words (as a simple example of language understanding)
masked_input = user_input.replace("____", "[MASK]")
results = nlp(masked_input)
st.write("Predictions for the masked word:")
for result in results:
st.write(f"Prediction: {result['token_str']}, Score: {result['score']:.4f}")
if st.checkbox("Show example usage"):
st.write("Example sentence: Hän on ____ ystävä.")
example_results = nlp("Hän on [MASK] ystävä.")
st.write("Predictions for the masked word in the example:")
for result in example_results:
st.write(f"Prediction: {result['token_str']}, Score: {result['score']:.4f}")
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