YaraKyrychenko commited on
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b1d30b9
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1 Parent(s): d8cfc05

Update pages/Create_Model.py

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  1. pages/Create_Model.py +13 -12
pages/Create_Model.py CHANGED
@@ -38,20 +38,21 @@ st.set_page_config(
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  )
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  st.header("πŸ€– Create BERTopic")
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- st.subheader("Use this page to create a model with your data")
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- model_name = st.text_input("Please enter a name for the new model (e.g., 'ukraine_war_jan5')")
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- df_name = st.text_input("Please enter data file path (e.g., 'data/df.csv')")
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- language = st.radio("Please pick one language that best describes your data", ["English","Russian/Ukrainian","Other"],horizontal=True)
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- text_col = st.text_input("Text column name (exactly as appears in the csv)")
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- date_col = st.text_input("Date column name (exactly as appears in the csv)")
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- datetime_format = st.text_input("Please enter the date format (e.g., '%d.%m.%Y')", value="")
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- st.session_state.datetime_format = None if datetime_format == "" else datetime_format
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- embs_name = st.text_input("Please enter embedding file path if any (e.g., 'data/embs.csv')")
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- sample = st.slider("Percent of data to use", 0, 100, 25)
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- emotions_yes = st.checkbox("Get emotions")
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- if st.button("Train new model"):
 
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  from sentence_transformers import SentenceTransformer
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  # https://www.sbert.net/docs/pretrained_models.html#multi-lingual-models
 
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  )
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  st.header("πŸ€– Create BERTopic")
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+ #st.subheader("Use this page to create a model with your data")
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+ #model_name = st.text_input("Please enter a name for the new model (e.g., 'ukraine_war_jan5')")
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+ #df_name = st.text_input("Please enter data file path (e.g., 'data/df.csv')")
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+ #language = st.radio("Please pick one language that best describes your data", ["English","Russian/Ukrainian","Other"],horizontal=True)
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+ #text_col = st.text_input("Text column name (exactly as appears in the csv)")
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+ #date_col = st.text_input("Date column name (exactly as appears in the csv)")
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+ #datetime_format = st.text_input("Please enter the date format (e.g., '%d.%m.%Y')", value="")
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+ #st.session_state.datetime_format = None if datetime_format == "" else datetime_format
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+ #embs_name = st.text_input("Please enter embedding file path if any (e.g., 'data/embs.csv')")
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+ #sample = st.slider("Percent of data to use", 0, 100, 25)
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+ #emotions_yes = st.checkbox("Get emotions")
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+ if False:
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+ #if st.button("Train new model"):
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  from sentence_transformers import SentenceTransformer
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  # https://www.sbert.net/docs/pretrained_models.html#multi-lingual-models