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| import streamlit as st | |
| # adding the text that will show in the text box as default | |
| default_value = "See how a modern neural network auto-completes your text 🤗 This site, built by the Hugging Face team, lets you write a whole document directly from your browser, and you can trigger the Transformer anywhere using the Tab key. Its like having a smart machine that completes your thoughts 😀 Get started by typing a custom snippet, check out the repository, or try one of the examples. Have fun!" | |
| sent = st.text_area("Text", default_value, height = 275) | |
| max_length = st.sidebar.slider("Max Length", min_value = 10, max_value=30) | |
| temperature = st.sidebar.slider("Temperature", value = 1.0, min_value = 0.0, max_value=1.0, step=0.05) | |
| top_k = st.sidebar.slider("Top-k", min_value = 0, max_value=5, value = 0) | |
| top_p = st.sidebar.slider("Top-p", min_value = 0.0, max_value=1.0, step = 0.05, value = 0.9) | |
| num_return_sequences = st.sidebar.number_input('Number of Return Sequences', min_value=1, max_value=5, value=1, step=1) | |