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wzkariampuzha
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f435314
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c058e52
Update app.py
Browse files
app.py
CHANGED
@@ -9,7 +9,6 @@ import streamlit as st
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import spacy
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import tensorflow as tf
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import pickle
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import plotly.graph_objects as go
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########## Title for the Web App ##########
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st.markdown('''<img src="https://huggingface.co/spaces/ncats/EpiPipeline4GARD/resolve/main/NCATS_logo.png" alt="National Center for Advancing Translational Sciences Logo" width=550>''',unsafe_allow_html=True)
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@@ -70,14 +69,14 @@ def epi_sankey(sankey_data):
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pad = 15,
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thickness = 20,
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line = dict(color = "black", width = 0.5),
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label = ["PubMed IDs Gathered", "Relevant Abstracts Gathered", "
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color = "blue"
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),
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#label = ["A1", "A2", "B1", "B2", "C1", "C2"]
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link = dict(
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source = [0, 0,
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target = [
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value = [
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))])
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return fig
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import spacy
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import tensorflow as tf
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import pickle
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########## Title for the Web App ##########
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st.markdown('''<img src="https://huggingface.co/spaces/ncats/EpiPipeline4GARD/resolve/main/NCATS_logo.png" alt="National Center for Advancing Translational Sciences Logo" width=550>''',unsafe_allow_html=True)
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pad = 15,
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thickness = 20,
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line = dict(color = "black", width = 0.5),
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label = ["PubMed IDs Gathered", "Irrelevant Abstracts","Relevant Abstracts Gathered","Epidemiologic Abstracts","Not Epidemiologic"],
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color = "blue"
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),
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#label = ["A1", "A2", "B1", "B2", "C1", "C2"]
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link = dict(
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source = [0, 0, 2, 2],
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target = [2, 1, 3, 4],
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value = [relevant, gathered-relevant, epidemiologic, relevant-epidemiologic]
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))])
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return fig
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