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update the text about the demo
Browse files
app.py
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@@ -80,13 +80,18 @@ top_p = st.sidebar.number_input(
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do_sample = st.sidebar.selectbox('Sampling?', (True, False), help="Whether or not to use sampling; use greedy decoding otherwise.")
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st.markdown(
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"""
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)
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model_name = st.selectbox('Model',(['GPT-2 Small', 'GPT-2 Medium']))
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ALL_PROMPTS = list(PROMPT_LIST.keys())+["Custom"]
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prompt = st.selectbox('
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if prompt == "Custom":
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prompt_box = "Enter your text here"
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do_sample = st.sidebar.selectbox('Sampling?', (True, False), help="Whether or not to use sampling; use greedy decoding otherwise.")
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st.markdown(
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"""
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This demo uses [the small and medium Indonesian GPT2 model](https://huggingface.co/flax-community/gpt2-small-indonesian)
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trained on the Indonesian part of [Oscar](https://huggingface.co/datasets/oscar), [MC4](https://huggingface.co/datasets/mc4)
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and [Wikipedia](https://huggingface.co/datasets/wikipedia) dataset. We created it as part of the
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[Huggingface JAX/Flax event](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/).
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"""
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)
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model_name = st.selectbox('Model',(['GPT-2 Small', 'GPT-2 Medium']))
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ALL_PROMPTS = list(PROMPT_LIST.keys())+["Custom"]
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prompt = st.selectbox('Please choose the predefined prompts or create your custom text.', ALL_PROMPTS, index=len(ALL_PROMPTS)-1)
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if prompt == "Custom":
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prompt_box = "Enter your text here"
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start.sh
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@@ -3,8 +3,8 @@ set -e
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if [ "$DEBUG" = true ] ; then
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echo 'Debugging - ON'
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nodemon --exec streamlit run
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else
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echo 'Debugging - OFF'
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streamlit run
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fi
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if [ "$DEBUG" = true ] ; then
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echo 'Debugging - ON'
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nodemon --exec streamlit run app.py
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else
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echo 'Debugging - OFF'
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streamlit run app.py
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fi
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