#import numpy as np # linear algebra
#import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
#from transformers import AutoTokenizer
#from transformers import TFAutoModelForQuestionAnswering
#from datasets import Dataset
import streamlit as st

#prompts
st.title("Tweet Sentiment Extractor...")

# take text/tweet input
textbox = st.text_area('Write your text in this box:', '',height=100,  max_chars=500 )
option = st.selectbox(
     'How would you like to be contacted?',
         ('Email', 'Home phone', 'Mobile phone'))
                  
st.write('You selected:', option)

#MAX_LENGTH = 105

#dataset = Dataset.from_dict(X)