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app.py

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+import time
+import re
+import pandas as pd
+import numpy as np
+import torch
+import torch.nn.functional as F
+import graphviz as graphviz
+import pydeck as pdk
+import streamlit as st
+
+from transformers import AutoTokenizer, AutoModel
+from tokenizers import Tokenizer, AddedToken
+from st_click_detector import click_detector
+
+st.set_page_config(page_title="OMS Omaha System and LOCUS MH Ontology Models",layout='wide')
+
+
+st.write("Circulation Categorization")
+
+st.graphviz_chart('''
+    digraph {
+        29CIRCULATION  ->  AbnormalBloodPressureReading
+        29CIRCULATION  ->  AbnormalCardiacLaboratoryResults
+        29CIRCULATION  ->  AbnormalClotting
+        29CIRCULATION  ->  AbnormalHeartSoundsMurmurs
+        29CIRCULATION  ->  AnginalPain
+        29CIRCULATION  ->  CrampingPainofExtremities
+        29CIRCULATION  ->  DecreasedPulses
+        29CIRCULATION  ->  DiscolorationofSkinCyanosis
+        29CIRCULATION  ->  EdemaSwellinginlegsarmsfeet
+        29CIRCULATION  ->  ExcessivelyRapidHeartRate
+        29CIRCULATION  ->  IrregularHeartRate
+        29CIRCULATION  ->  SyncopalEpisodes(Fainting)Dizziness
+        29CIRCULATION  ->  TemperatureChangeinAffectedArea
+        29CIRCULATION  ->  Varicosities
+        }
+''')

requirements.txt

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+torch
+transformers
+numpy
+pandas
+st-click-detector
+graphviz