Duplicate from bright1/Streamlit-app-Sepsis-Prediction

Co-authored-by: Bright Eshun <bright1@users.noreply.huggingface.co>

.gitattributes

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.streamlit/config.toml

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+[theme]
+primaryColor="#FF4B4B"
+backgroundColor="#0E1117"
+secondaryBackgroundColor="#262730"
+textColor="#FAFAFA"
+font="sans serif"
+

README.md

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+---
+title: Streamlit App Sepsis Prediction
+emoji: 👀
+colorFrom: pink
+colorTo: gray
+sdk: streamlit
+sdk_version: 1.21.0
+app_file: app.py
+pinned: false
+duplicated_from: bright1/Streamlit-app-Sepsis-Prediction
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+import requests
+from PIL import Image
+
+image_path = 'images/image.jpg'
+image = Image.open(image_path)
+
+
+
+
+
+# Set API Endpoint
+URL = 'https://radiant-lowlands-86946.herokuapp.com/predict'
+
+
+# Create a function to make prediction
+def make_prediction(pg: float, bwr1: float, bp : float, bwr2: float, bwr3: float, bmi: float, bwr4: float, age: int, insurance: bool):
+
+    parameters={
+        'plasma_glucose':pg,
+        'blood_work_result_1':bwr1,
+        'blood_pressure':bp,
+        'blood_work_result_2':bwr2,
+        'blood_work_result_3':bwr3,
+        'body_mass_index':bmi,
+        'blood_work_result_4':bwr4,
+        'age':int(age),
+        'insurance':bool(insurance)}
+    response = requests.post(URL, params=parameters)
+    response_text =  response.json()
+    sepsis_status = response_text['results'][0]['0']['output']['Predicted Label']
+    return sepsis_status
+
+
+# set page configuration
+st.set_page_config(
+    page_title='Sepsis Prediction',
+    page_icon="🤖",
+    initial_sidebar_state="expanded",
+    menu_items={
+        'About': "# This is a Health App. Call it the Covid Vaccine Sepsis Analyzer!"
+    }
+)  
+
+
+# create a sidebar and contents
+st.sidebar.markdown("""
+## Demo App
+
+This app return sepsis status base on the input parameters
+""")
+
+st.markdown('''
+    <h1 style="color: green; text-align:center">The Sepsis Prediction App</h1>
+    ''', unsafe_allow_html=True)
+
+# insert an image
+st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels="RGB", output_format="auto")
+
+
+# Create app interface
+container = st.container()
+container.write("Inputs to predict Sepsis")
+with container:
+    col1, col2, col3 = st.columns(3)
+    
+    age = col1.number_input(label='Age')
+    pg = col2.number_input(label='Blood Glucose')
+    bp = col3.number_input(label='Blood Pressure')
+    with st.expander(label='Blood Parameter', expanded=True, ):
+        bwr1 = col1.number_input(label='Blood Work Result-1')
+        bwr2 = col2.number_input(label='Blood Work Result-2')
+        bwr3 = col1.number_input(label='Blood Work Result-3')
+        bwr4 = col2.number_input(label='Blood Work Result-4')
+    ins = col3.selectbox(label='Insurance', options=[True, False])
+    bmi = col3.number_input(label='Body Mass Index')
+    button = st.button(label='Predict', type='primary', use_container_width=True)
+    
+
+if button:
+    response = make_prediction(pg, bwr1, bp, bwr2, bwr3, bmi, bwr4, age, ins)
+    st.metric(label='Status', value=f'The {response}')
+
+
+
+
+
+
+
+
+
+
+
+
+
+

requirements.txt

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+streamlit==1.23.1