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Update app.py
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app.py
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@@ -1,5 +1,4 @@
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import streamlit as st
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import pandas as pd
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import re
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import nltk
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@@ -31,7 +30,7 @@ def standardize(text, remove_digits=True):
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text = text.lower()
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return text
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st.write("Poetry dataset, content column cleaned from special characters and lowercased")
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df.content = df.content.apply(lambda x: ' '.join([word for word in x.split() if word not in (stop)]))
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df.content=df.content.apply(standardize)
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@@ -55,9 +54,7 @@ plt.xticks(rotation=90)
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st.pyplot()
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# distributions of poem types according to ages and authors
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st.write("Distributions of poem types according to ages and authors,
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seems that folks in renaissance loved the love themed poems \
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and nature themed poems became popular later")
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le = LabelEncoder()
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df.author = le.fit_transform(df.author)
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\nimport streamlit as st
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import pandas as pd
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import re
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import nltk
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text = text.lower()
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return text
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st.set_option('deprecation.showPyplotGlobalUse', False)
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st.write("Poetry dataset, content column cleaned from special characters and lowercased")
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df.content = df.content.apply(lambda x: ' '.join([word for word in x.split() if word not in (stop)]))
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df.content=df.content.apply(standardize)
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st.pyplot()
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# distributions of poem types according to ages and authors
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st.write("Distributions of poem types according to ages and authors, \\nseems that folks in renaissance loved the love themed poems \\nand nature themed poems became popular later")
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le = LabelEncoder()
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df.author = le.fit_transform(df.author)
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