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import streamlit as st
from .services import SentimentAnalyzer
from functools import lru_cache
# @st.cache(allow_output_mutation=False, hash_funcs={Tokenizer: str})
@lru_cache(maxsize=1)
def load_text_generator():
predictor = SentimentAnalyzer()
return predictor
predictor = load_text_generator()
def write():
input_text = st.text_input("Enter your text here:", key="Fuck you")
if st.button("Predict"):
with st.spinner("Predicting..."):
prediction, score, all_score = predictor.predict([input_text])
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