pepperjirakit commited on
Commit
973d0c7
1 Parent(s): e15408f

Update requirements.txt

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Files changed (1) hide show
  1. requirements.txt +36 -6
requirements.txt CHANGED
@@ -1,6 +1,36 @@
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- pandas
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- numpy
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- scikit-learn
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- joblib
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- streamlit
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- ssl
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import joblib import pandas as pd import streamlit as st
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+
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+ model = joblib.load("daimond.joblib") unique_values = joblib.load("unique_values.joblib")
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+
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+ unique_cut = unique_values["cut"] unique_color = unique_values["color"] unique_clarity = unique_values["clarity"]
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+
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+ def main(): st.title("Diamond Prices")
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+
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+ with st.form("questionaire"):
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+ carat = st.slider("Carat",min_value=0.00,max_value=5.00)
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+ cut = st.selectbox("Cut", options=unique_cut)
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+ color = st.selectbox("Color", options=unique_color)
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+ clarity = st.selectbox("Clarity", options=unique_clarity)
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+ depth = st.slider("Depth",min_value=0.00,max_value=100.00)
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+ table = st.slider("table",min_value=0.00,max_value=100.00)
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+ x = st.slider("length(mm)",min_value=0.01,max_value=10.00)
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+ y = st.slider("width(mm)",min_value=0.01,max_value=10.00)
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+ z = st.slider("depth(mm)",min_value=0.01,max_value=10.00)
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+
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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("Predict Price")
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+ if clicked:
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+ result=model.predict(pd.DataFrame({"carat": [carat],
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+ "cut": [cut],
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+ "color": [color],
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+ "clarity": [clarity],
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+ "depth":[depth],
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+ "table": [table],
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+ "size": [size],
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+ "length(mm)":[x],
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+ "width(mm)":[y],
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+ "depth(mm)":[z]}))
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+ # Show prediction
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+ st.success("Your predicted income is"+result)
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+ if name == "main": main()