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First App using Stramlit

app.py

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+import streamlit as st       #for frontend development
+import joblib                # import our model
+# from PIL import Image         #for images
+import numpy as np
+
+image="logo.png"
+text = "### CodeWithGauravRajput bhai ka placement Prediction!!"
+st.write(text)
+
+# Display image in the first column
+st.image(image, width=150)
+
+# Display text in the second column
+# with col2:
+
+# creating UI
+age = st.number_input("Age", min_value=10, max_value=90, value=30)
+height = st.number_input("Height (in meters)", min_value=0.6, max_value=2.7, value=1.67)
+weight = st.number_input("Weight (in Kg)", min_value=25, max_value=150, value=80)
+children = st.number_input("Numbers of Children(s)", min_value=0, max_value=10, value=1)
+smoker = st.selectbox("Smoke?", ("Yes", "No"))
+sex = st.selectbox("Gender", ("Male", "Female", "CodeWithGauravRajput"))
+if sex == "CodeWithGauravRajput":
+    st.write("End of LGBTQ debate")
+    if st.button("Get Quote"):
+        st.write("## Bhai Terko Premium ki nhi duaa ki jrurat h!!")
+else:
+    # transforming data
+    bmi = weight/(height**2)
+    smoker_num = 0 if smoker == "No" else 1 
+    test_data = [[age, bmi, children, smoker_num]]
+    
+    # loading model
+    model = joblib.load("insurance_joblib")
+    poly = joblib.load("poly_obj")
+
+    if st.button("Get Quote"):
+        test_poly = poly.transform(test_data)
+        y_pred = model.predict(test_poly)
+        premium = np.exp(y_pred)[0]
+        # st.write("Kidney Bechni Pdegi")
+        st.write(f" #### Your premium is:  ₹{round(premium,2)}")

requiremnets.txt

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+streamlit==1.32.2
+numpy==1.26.3
+joblib==1.3.2