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Build error
meg-huggingface
commited on
Commit
·
11d3c97
1
Parent(s):
7b96401
Experimenting with direct merge conflict push to Spaces
Browse files
data_measurements/streamlit_utils.py
CHANGED
@@ -161,14 +161,10 @@ def expander_text_lengths(dstats, column_id):
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st.markdown(
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"### Here is the relative frequency of different text lengths in your dataset:"
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)
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-
<<<<<<< HEAD
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-
st.pyplot(dstats.fig_tok_length, use_container_width=True)
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-
=======
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try:
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st.image(dstats.fig_tok_length_png)
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except:
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st.pyplot(dstats.fig_tok_length, use_container_width=True)
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-
>>>>>>> a0a4b0702daf66f24d3114997945e3d42906bc95
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st.markdown(
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"The average length of text instances is **"
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+ str(dstats.avg_length)
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@@ -179,10 +175,8 @@ def expander_text_lengths(dstats, column_id):
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# This is quite a large file and is breaking our ability to navigate the app development.
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# Just passing if it's not already there for launch v0
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if dstats.length_df is not None:
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-
<<<<<<< HEAD
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start_id_show_lengths= st.selectbox("Show examples of length:", sorted(dstats.length_df["length"].unique().tolist()))
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st.table(dstats.length_df[dstats.length_df["length"] == start_id_show_lengths].set_index("length"))
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-
=======
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start_id_show_lengths = st.selectbox(
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"Show examples of length:",
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sorted(dstats.length_df["length"].unique().tolist()),
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@@ -193,7 +187,6 @@ def expander_text_lengths(dstats, column_id):
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dstats.length_df["length"] == start_id_show_lengths
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].set_index("length")
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)
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-
>>>>>>> a0a4b0702daf66f24d3114997945e3d42906bc95
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### Third, use a sentence embedding model
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st.markdown(
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"### Here is the relative frequency of different text lengths in your dataset:"
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)
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try:
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st.image(dstats.fig_tok_length_png)
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except:
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st.pyplot(dstats.fig_tok_length, use_container_width=True)
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st.markdown(
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"The average length of text instances is **"
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+ str(dstats.avg_length)
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# This is quite a large file and is breaking our ability to navigate the app development.
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# Just passing if it's not already there for launch v0
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if dstats.length_df is not None:
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start_id_show_lengths= st.selectbox("Show examples of length:", sorted(dstats.length_df["length"].unique().tolist()))
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st.table(dstats.length_df[dstats.length_df["length"] == start_id_show_lengths].set_index("length"))
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start_id_show_lengths = st.selectbox(
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"Show examples of length:",
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sorted(dstats.length_df["length"].unique().tolist()),
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dstats.length_df["length"] == start_id_show_lengths
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].set_index("length")
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)
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### Third, use a sentence embedding model
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