Upload 4 files
Browse files- app.py +49 -0
- model.joblib +3 -0
- requirements.txt +5 -0
- unique_values.joblib +3 -0
app.py
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# -*- coding: utf-8 -*-
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"""app.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/1QDGbOvpwcdGFAUHlqUqKjWG_UkARrh_A
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"""
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import joblib
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import pandas as pd
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import streamlit as st
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SPC_DICT = {'setosa': 0,
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'versicolor': 1,
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'virginica': 2
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}
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model = joblib.load('model.joblib')
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unique_values = joblib.load('unique_values.joblib')
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#unique_srecies = unique_values["srecies"]
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unique_sepal_length = unique_values["sepal_length"]
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unique_sepal_width = unique_values["sepal_width"]
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unique_petal_length = unique_values["petal_length"]
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unique_petal_width = unique_values["petal_width"]
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def main():
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st.title("Iris")
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with st.form("questionnaire"):
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sepal_length = st.slider("sepal_length", min_value=0, max_value=20)
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sepal_width = st.slider("sepal_width", min_value=0, max_value=20)
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petal_length = st.slider("petal_length", min_value=0, max_value=20)
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petal_width = st.slider("petal_width", min_value=0, max_value=20)
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clicked = st.form_submit_button("Predict iris")
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if clicked:
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result = model.predict(pd.DataFrame({
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"sepal_length": [sepal_length],
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"sepal_width": [sepal_width],
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"petal_length": [petal_length],
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"petal_width": [petal_width]
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}))
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result = 'setosa' if result[0] == 0 result = 'versicolor' elif result[0] == 1 else result = 'virginica'
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st.success('The predicted iris is {}'.format(result))
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if __name__ == '__main__':
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main()
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model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b19675355e2ada413846c7f9fafe6b638f2fb6de34aa39d896da119bf76d8ea
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size 246917
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requirements.txt
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joblib
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pandas
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scikit-learn==1.2.2
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xgboost==1.7.6
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altair<5
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unique_values.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fc4c0c9343f90ad7f5857c44ddadef3cb4a52c217e6f01da4914bb439b72030
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size 63
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