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Update app.py
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app.py
CHANGED
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@@ -13,22 +13,20 @@ st.markdown(
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<style>
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body {
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background-color: #000000;
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color: #ffffff;
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}
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.stApp {
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background-color: #000000;
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color: #ffffff;
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}
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</style>
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""",
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unsafe_allow_html=True
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)
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st.
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# Add some text to the app
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st.write("**This is my Streamlit app with HTML and CSS formatting.**")
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text_input_value = st.text_input("Enter some text"
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query = text_input_value
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query = query.lower()
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# query = input ("Enter your keyword(s):")
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@@ -53,7 +51,7 @@ if query:
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table.head(10).to_csv("clotting_sim1.csv", index=True)
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# short_table = table.head(50)
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# print(table)
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st.
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# calculate the sizes of the squares in the treemap
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short_table = table.head(20)
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@@ -88,7 +86,7 @@ if query:
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print()
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df1.head(50).to_csv("clotting_sim2.csv", index=True, header=False)
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# time.sleep(2)
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st.
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df1 = df1.head(20)
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df1.index = 1/df1.index
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<style>
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body {
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background-color: #000000;
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# color: #ffffff;
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}
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.stApp {
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background-color: #000000;
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# color: #ffffff;
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}
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</style>
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""",
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unsafe_allow_html=True
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)
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st.header(":white[Word2Vec App for Clotting Pubmed Database.]")
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text_input_value = st.text_input(":white[Enter some text"])
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query = text_input_value
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query = query.lower()
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# query = input ("Enter your keyword(s):")
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table.head(10).to_csv("clotting_sim1.csv", index=True)
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# short_table = table.head(50)
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# print(table)
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st.subheader(f":white[Similar Words to {query}]")
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# calculate the sizes of the squares in the treemap
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short_table = table.head(20)
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print()
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df1.head(50).to_csv("clotting_sim2.csv", index=True, header=False)
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# time.sleep(2)
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st.subheader(f":white[Similar Genes to {query}]")
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df1 = df1.head(20)
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df1.index = 1/df1.index
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