Upload 4 files

add.csv

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+x,y,sum
+1,1,2
+4,4,8
+6,6,12
+10,10,20
+30,30,60
+23,43,66
+55,80,135
+100,22,122
+23,45,68
+56,78,134
+13,78,91
+300,34,334
+12.5,56.7,69.2
+23.6,89.3,112.9
+67.8,87.9,155.7
+200,700,900
+203.6,67.9,271.5
+400,45.7,445.7
+34.6,56.9,91.5
+400.5,356,756.5
+45.7,123.7,169.4
+1000,3456,4456

add_app.py

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+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import streamlit as st
+import pickle
+
+from sklearn.linear_model import LinearRegression
+from sklearn.metrics import r2_score
+from sklearn.model_selection import train_test_split
+
+#st.title("ML Two Number Addition Web App")
+st.markdown('<p style="color: red; font-size: 45px; font-weight: bold;">ML Two Number Addition Web App</p>', unsafe_allow_html=True)
+col1, col2, col3 = st.columns(3)
+with col2:
+      st.markdown('<p style="color: cyan; font-size: 20px; font-weight: bold;">Using Linear Regression</p>', unsafe_allow_html=True)
+
+# Load the trained model from the pickle file
+with open("model.pkl", "rb") as file:
+    model = pickle.load(file)
+
+df = pd.read_csv("add.csv")
+
+st.markdown("****")
+
+col1, col2 = st.columns(2)
+
+with col1:
+    st.header(":green[Number 1]")
+    num1 = st.number_input('Enter First number here')
+
+with col2:
+    st.header(":green[Number 2]")
+    num2 = st.number_input("Enter Second number here")
+
+st.markdown("****")
+
+col1, col2, col3, col4, col5 = st.columns(5)
+
+with col3:
+
+    if st.button('Predict'):
+        features = np.array([num1, num2])
+        prediction = model.predict([features])
+        
+        col1, col2, col3, col4, col5 = st.columns(5)
+        with col1:
+            st.header(":blue[SUM] ")
+        with col5:
+            st.header(np.round(prediction[0],4))    
+
+st.markdown("****")

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:87658bd81f9fea4628c853ecb38609f5e29e75b12bd9e4e04bfb5901899e4342
+size 530

requirements.txt

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+numpy==1.26.3
+pandas==2.1.4
+matplotlib==3.8.2
+streamlit==1.29.0
+scikit-learn==1.4.0