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app.py

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+import streamlit as st
+
+import pandas as pd
+import joblib
+
+st.title("Stress Model")
+
+data = pd.read_excel("C:/Users/eijaz/OneDrive/Desktop/stress_data.xlsx")
+
+posts = st.text_area("Enter your concern")
+
+if st.button("Predict"):
+    vector = joblib.load("stress.h5")
+   
+    predictions = vector.transform([posts])
+
+    model = joblib.load("stress_model.h5")
+
+    pred = model.predict(predictions)
+
+    st.success(pred)
+
+# We need not use conditional statements as its in labels and we didn;t encode it
+    

stress.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8bbbc21fdb3fa8b5ac75f01813e3703684c4d54d95fda8a7c0d68240c8d62868
+size 205301

stress_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:abdd41ae2bd67af912b559e90e06675bccabf4d0739c19e0b942d5f80513b304
+size 986870