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Update app.py
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app.py
CHANGED
@@ -721,6 +721,14 @@ if query:
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# Reset the index
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df13.reset_index(inplace=True)
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# Replace hyphens with spaces in the 'text' column
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df13['Drugs'] = df13['Drugs'].str.replace('-', ' ')
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@@ -730,7 +738,7 @@ if query:
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df13['href'] = [f'https://pubmed.ncbi.nlm.nih.gov/?term={database_name}%5Bmh%5D+NOT+review%5Bpt%5D' \
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'+AND+english%5Bla%5D+AND+hasabstract+AND+1990:2022%5Bdp%5D+AND+' + c for c in df13['text']]
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df13['href2'] = [f'https://en.wikipedia.org/wiki/' + c for c in df13['text']]
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df13['href3'] = [f'https://beta.clinicaltrials.gov/search?distance=50&cond={
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assert isinstance(df13, object)
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df13['database'] = database_name
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@@ -748,7 +756,7 @@ if query:
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texttemplate="<span style='font-family: Arial; font-size: 20px;'>%{customdata[3]}<br><br>"
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"<a href='%{customdata[0]}'>PubMed"
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"</a><br><br><a href='%{customdata[2]}'>Wikipedia"
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"</
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"</span></a>")
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fig.update_layout(uniformtext=dict(minsize=15), treemapcolorway=["Thistle"])
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# # display the treemap in Streamlit
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# Reset the index
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df13.reset_index(inplace=True)
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database_name = database_name
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# Split the string on the underscore
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words = database_name.split('_')
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# Assign the split words to two separate variables
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word1, word2 = words
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# Replace hyphens with spaces in the 'text' column
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df13['Drugs'] = df13['Drugs'].str.replace('-', ' ')
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df13['href'] = [f'https://pubmed.ncbi.nlm.nih.gov/?term={database_name}%5Bmh%5D+NOT+review%5Bpt%5D' \
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'+AND+english%5Bla%5D+AND+hasabstract+AND+1990:2022%5Bdp%5D+AND+' + c for c in df13['text']]
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df13['href2'] = [f'https://en.wikipedia.org/wiki/' + c for c in df13['text']]
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df13['href3'] = [f'https://beta.clinicaltrials.gov/search?distance=50&cond={word1}%20{word2}&term={c}&viewType=Table' for c in df13['text']]
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assert isinstance(df13, object)
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df13['database'] = database_name
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texttemplate="<span style='font-family: Arial; font-size: 20px;'>%{customdata[3]}<br><br>"
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"<a href='%{customdata[0]}'>PubMed"
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"</a><br><br><a href='%{customdata[2]}'>Wikipedia"
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"</a><br><a href='%{customdata[4]}'>ClinicalTrials.gov"
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"</span></a>")
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fig.update_layout(uniformtext=dict(minsize=15), treemapcolorway=["Thistle"])
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# # display the treemap in Streamlit
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