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Browse files- Text_converter.pkl +3 -0
- requirements.txt +2 -0
- spam_detection.pkl +3 -0
- spam_streamlit.py +20 -0
Text_converter.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f6bd0974dc5b236733297ac863917ddc0da369981d3f41cb9345f88bce306e7
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size 97983
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requirements.txt
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streamlit
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pickel
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spam_detection.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c0d017b23dd841db68a4b39a28b83d8b8738de3d447f6864fc596e18bc3bb27
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size 136444
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spam_streamlit.py
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import streamlit as st
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import pickle
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import pandas as pd
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st.title('E-Mail Spam Detection')
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with open(r"spam_detection.pkl",'rb') as file:
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model=pickle.load(file)
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with open(r"Text_converter.pkl","rb") as file:
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tr=pickle.load(file)
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E_mail=st.text_input("Enter E-Mail Title")
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if st.button('Predict'):
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a=tr.transform([E_mail])
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# st.write(a)
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a=model.predict(a)
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if a == 'ham':
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st.write("It's not Spam message")
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else:
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st.write("It's a spam Message please avoid this Message ")
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