Upload 3 files
Browse files- app.py +24 -0
- stress.h5 +3 -0
- stress_model.h5 +3 -0
app.py
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import streamlit as st
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import pandas as pd
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import joblib
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st.title("Stress Model")
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data = pd.read_excel("C:/Users/eijaz/OneDrive/Desktop/stress_data.xlsx")
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posts = st.text_area("Enter your concern")
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if st.button("Predict"):
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vector = joblib.load("stress.h5")
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predictions = vector.transform([posts])
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model = joblib.load("stress_model.h5")
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pred = model.predict(predictions)
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st.success(pred)
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# We need not use conditional statements as its in labels and we didn;t encode it
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stress.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bbbc21fdb3fa8b5ac75f01813e3703684c4d54d95fda8a7c0d68240c8d62868
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size 205301
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stress_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:abdd41ae2bd67af912b559e90e06675bccabf4d0739c19e0b942d5f80513b304
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size 986870
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