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Update app.py
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app.py
CHANGED
@@ -2,7 +2,7 @@ import joblib
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import pandas as pd
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import streamlit as st #<-
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model = joblib.load('model (
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unique_values = joblib.load('unique_values (1).joblib') #<-
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unique_job_title = unique_values["job_title"]
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@@ -30,7 +30,7 @@ def main(): #<- defined main
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"Select your remote_ratio 👇",
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[0,50,100])
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-
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# clicked==True only when the button is clicked
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clicked = st.form_submit_button("Show my job salary Rate")
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@@ -42,8 +42,7 @@ def main(): #<- defined main
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"company_location": [company_location],
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"company_size": [company_size],
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"work_Year": [work_Year],
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"remote_ratio": [remote_ratio]
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"salary_in_usd": [salary_in_usd]}))
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# Show prediction
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result= '<300k' if result[0]=='<300k'else '>=300k'
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#print report
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import pandas as pd
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import streamlit as st #<-
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model = joblib.load('model (2).joblib') #<-
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unique_values = joblib.load('unique_values (1).joblib') #<-
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unique_job_title = unique_values["job_title"]
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"Select your remote_ratio 👇",
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[0,50,100])
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# salary_in_usd=st.slider('salary_in_usd',min_value=0, max_value=600000) #<-
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# clicked==True only when the button is clicked
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clicked = st.form_submit_button("Show my job salary Rate")
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"company_location": [company_location],
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"company_size": [company_size],
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"work_Year": [work_Year],
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"remote_ratio": [remote_ratio]}))
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# Show prediction
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result= '<300k' if result[0]=='<300k'else '>=300k'
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#print report
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