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Update app.py
#1
by
harmdevries
- opened
app.py
CHANGED
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@@ -4,7 +4,7 @@ import pandas as pd
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from datasets import load_dataset
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st.set_page_config(page_title="The Stack data Inspection", layout="wide")
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st.title("The Stack data Inspection")
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df = pd.read_csv("extension_distribution.csv")
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all_extensions = df["extension"].tolist()
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@@ -27,7 +27,7 @@ def load_data(language, ext):
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return ds
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col1, col2, _ = st.columns([1, 1, 4])
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with col1:
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chosen_language = st.selectbox(
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label="Select a programming language", options=all_languages, index=0
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@@ -47,11 +47,11 @@ indexes_not_lexed = not_lexed["idx"]
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# info about extension
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st.markdown("### Information about the extension:")
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text = f"Extension {chosen_ext} has {max_docs} files, {df[df['extension'] == chosen_ext]['low_alphanum_count'].values[0]} with very low alphanumeric ratio, \
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{df[df['extension'] == chosen_ext]['long_lines_count'].values[0]} with very long lines, and {df[df['extension'] == chosen_ext]['non_lexable_count'].values[0]} \
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are not lexable.\n These files are at indexes:\n {indexes_not_lexed}."
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st.markdown(text)
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col_1, _ = st.columns([2, 4])
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with col_1:
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from datasets import load_dataset
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st.set_page_config(page_title="The Stack data Inspection", layout="wide")
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st.sidebar.title("The Stack data Inspection")
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df = pd.read_csv("extension_distribution.csv")
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all_extensions = df["extension"].tolist()
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return ds
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col1, col2, _ = st.sidebar.columns([1, 1, 4])
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with col1:
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chosen_language = st.selectbox(
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label="Select a programming language", options=all_languages, index=0
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# info about extension
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st.sidebar.markdown("### Information about the extension:")
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text = f"Extension {chosen_ext} has {max_docs} files, {df[df['extension'] == chosen_ext]['low_alphanum_count'].values[0]} with very low alphanumeric ratio, \
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{df[df['extension'] == chosen_ext]['long_lines_count'].values[0]} with very long lines, and {df[df['extension'] == chosen_ext]['non_lexable_count'].values[0]} \
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are not lexable.\n These files are at indexes:\n {indexes_not_lexed}."
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st.sidebar.markdown(text)
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col_1, _ = st.columns([2, 4])
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with col_1:
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