ilham push 9

src/prediction.py

@@ -30,18 +30,18 @@ def run():
         machine_id = st.text_input('Machine ID', value='---machine id--')
 
         st.markdown('Equipment Operation Parameters')
-        temperature = st.number_input('Temperature', min_value=0, max_value=150, value=0, step=1)
-        vibration = st.number_input('Vibration', min_value=-20, max_value=150, value=0, step=1)
-        humidity = st.number_input('Humidity', min_value=0, max_value=90, value=0, step=1)
-        pressure = st.number_input('Pressure', min_value=0, max_value=6, value=0, step=1)
-        energy_consumption = st.number_input('Energy Consumption', min_value=0, max_value=6, value=0, step=1)
+        temperature = st.number_input('Temperature', min_value=0.00, max_value=200.00, value=0.00)
+        vibration = st.number_input('Vibration', min_value=-20.00, max_value=200.00, value=0.00)
+        humidity = st.number_input('Humidity', min_value=0.00, max_value=85.00, value=0.00)
+        pressure = st.number_input('Pressure', min_value=0.00, max_value=6.00, value=0.00)
+        energy_consumption = st.number_input('Energy Consumption', min_value=0.00, max_value=6.00, value=0.00)
 
         st.markdown('Equipment Status and Condition')
         machine_status = st.selectbox('Machine Status', (0, 1), index=0, help='0 = not running, 1 = running')
         anomaly_flag = st.selectbox('Anomaly Flag', (0, 1), index=0, help='0 = normal temperature & vibration, 1 = extreme temperature & vibration')
-        predicted_remaining_life = st.number_input ('Remaining life Prediction', min_value=0, max_value=500, value=0, step=1)
+        predicted_remaining_life = st.number_input ('Remaining life Prediction', min_value=0, max_value=500, value=0)
         failure_type = st.selectbox('Failure Type', ('Normal', 'Vibration Issue', 'Overheating', 'Pressure Drop', 'Electrical Fault'), index=0)
-        downtime_risk = st.number_input('Downtime Risk Score', min_value=0.00, max_value=1.00, value=0.00, step=0.01, help='range from 0-1')
+        downtime_risk = st.number_input('Downtime Risk Score', min_value=0.00, max_value=1.00, value=0.00, help='range from 0-1')
 
         submitted = st.form_submit_button('Predict')
 

src/streamlit_app.py

@@ -2,6 +2,12 @@ import streamlit as st
 import eda
 import prediction
 
+st.set_page_config(
+    page_title='Smart Manufacturing for Predictive Maintenance',
+    layout='wide',
+    initial_sidebar_state='expanded'
+)
+
 page = st.sidebar.selectbox('Pages', ('EDA', 'Prediction'))
 
 if page == 'EDA':