# import streamlit as st
#
# x = st.slider('Select a value')
# st.write(x, 'squared is', x * x)


import streamlit as st
from transformers import pipeline

st.write("Starting the app")

# Load a pre-trained pipeline for text generation
generator = pipeline('text-generation', model='gpt2')

st.title('Simple Hugging Face Space with Streamlit')

# Text input widget
input_text = st.text_area('Enter your text here:', '')

if st.button('Generate'):
    if input_text:
        # Generate text using the model
        outputs = generator(input_text, max_length=50, num_return_sequences=1)
        st.write('Generated Text:')
        st.write(outputs[0]['generated_text'])
    else:
        st.write('Please enter some text to generate.')

# if __name__ == '__main__':
#     st.title('ACR')