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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}) | |
| 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]) | |