Upload 3 files

Bmi_male_female.csv

@@ -0,0 +1,501 @@
+Gender,Height,Weight,Index
+Male,174,96,4
+Male,189,87,2
+Female,185,110,4
+Female,195,104,3
+Male,149,61,3
+Male,189,104,3
+Male,147,92,5
+Male,154,111,5
+Male,174,90,3
+Female,169,103,4
+Male,195,81,2
+Female,159,80,4
+Female,192,101,3
+Male,155,51,2
+Male,191,79,2
+Female,153,107,5
+Female,157,110,5
+Male,140,129,5
+Male,144,145,5
+Male,172,139,5
+Male,157,110,5
+Female,153,149,5
+Female,169,97,4
+Male,185,139,5
+Female,172,67,2
+Female,151,64,3
+Male,190,95,3
+Male,187,62,1
+Female,163,159,5
+Male,179,152,5
+Male,153,121,5
+Male,178,52,1
+Female,195,65,1
+Female,160,131,5
+Female,157,153,5
+Female,189,132,4
+Female,197,114,3
+Male,144,80,4
+Female,171,152,5
+Female,185,81,2
+Female,175,120,4
+Female,149,108,5
+Male,157,56,2
+Male,161,118,5
+Female,182,126,4
+Male,185,76,2
+Female,188,122,4
+Male,181,111,4
+Male,161,72,3
+Male,140,152,5
+Female,168,135,5
+Female,176,54,1
+Male,163,110,5
+Male,172,105,4
+Male,196,116,4
+Female,187,89,3
+Male,172,92,4
+Male,178,127,5
+Female,164,70,3
+Male,143,88,5
+Female,191,54,0
+Female,141,143,5
+Male,193,54,0
+Male,190,83,2
+Male,175,135,5
+Female,179,158,5
+Female,172,96,4
+Female,168,59,2
+Female,164,82,4
+Female,194,136,4
+Female,153,51,2
+Male,178,117,4
+Male,141,80,5
+Male,180,75,2
+Female,185,100,3
+Female,197,154,4
+Male,165,104,4
+Female,168,90,4
+Female,176,122,4
+Male,181,51,0
+Male,164,75,3
+Female,166,140,5
+Female,190,105,3
+Male,186,118,4
+Male,168,123,5
+Male,198,50,0
+Female,175,141,5
+Male,145,117,5
+Female,159,104,5
+Female,185,140,5
+Female,178,154,5
+Female,183,96,3
+Female,194,111,3
+Male,177,61,2
+Male,197,119,4
+Female,170,156,5
+Male,142,69,4
+Male,160,139,5
+Male,195,69,1
+Female,190,50,0
+Male,199,156,4
+Male,154,105,5
+Male,161,155,5
+Female,198,145,4
+Female,192,140,4
+Male,195,126,4
+Male,166,160,5
+Male,159,154,5
+Female,181,106,4
+Male,149,66,3
+Female,150,70,4
+Female,146,157,5
+Male,190,135,4
+Female,192,90,2
+Female,177,96,4
+Male,148,60,3
+Female,165,57,2
+Female,146,104,5
+Male,144,108,5
+Female,176,156,5
+Female,168,87,4
+Male,187,122,4
+Male,187,138,4
+Female,184,160,5
+Female,158,149,5
+Male,158,96,4
+Male,194,115,4
+Female,145,79,4
+Male,182,151,5
+Male,154,54,2
+Female,168,139,5
+Female,187,70,2
+Female,158,153,5
+Female,167,110,4
+Female,171,155,5
+Female,183,150,5
+Female,190,156,5
+Male,194,108,3
+Male,171,147,5
+Male,159,124,5
+Female,169,54,2
+Female,167,85,4
+Male,180,149,5
+Male,163,123,5
+Male,140,79,5
+Male,197,125,4
+Male,194,106,3
+Female,140,146,5
+Male,195,98,3
+Female,168,115,3
+Female,196,50,0
+Male,140,52,3
+Female,150,60,3
+Female,168,140,5
+Female,155,111,5
+Female,179,103,4
+Female,182,84,3
+Male,168,160,5
+Female,187,102,3
+Male,181,105,4
+Male,199,99,2
+Female,184,76,2
+Male,192,101,3
+Female,182,143,5
+Female,172,111,4
+Male,181,78,2
+Male,176,109,4
+Female,156,106,5
+Female,151,67,3
+Female,188,80,2
+Male,187,136,4
+Male,174,138,5
+Male,167,151,5
+Female,196,131,4
+Male,197,149,4
+Female,185,119,4
+Female,170,102,4
+Female,181,94,3
+Female,166,126,5
+Male,188,100,3
+Female,162,74,3
+Male,177,117,4
+Male,162,97,4
+Male,180,73,2
+Female,192,108,3
+Male,165,80,3
+Female,167,135,5
+Female,182,84,3
+Female,161,134,5
+Male,158,95,4
+Male,141,85,5
+Male,154,100,5
+Male,165,105,4
+Female,142,137,5
+Male,141,94,5
+Male,145,108,5
+Male,157,74,4
+Female,177,117,4
+Female,166,144,5
+Male,193,151,5
+Male,184,57,1
+Male,179,93,3
+Female,156,89,4
+Male,182,104,4
+Male,145,160,5
+Female,150,87,4
+Male,145,99,5
+Female,196,122,4
+Male,191,96,3
+Female,148,67,4
+Female,150,84,4
+Male,148,155,5
+Female,153,146,5
+Female,196,159,5
+Female,185,52,0
+Female,171,131,5
+Female,143,118,5
+Female,142,86,5
+Female,141,126,5
+Male,159,109,5
+Female,173,82,2
+Male,183,138,5
+Female,152,90,4
+Male,178,140,5
+Male,188,54,0
+Female,155,144,5
+Male,166,70,3
+Male,188,123,4
+Female,171,120,5
+Male,179,130,5
+Female,186,137,4
+Female,153,78,2
+Female,184,86,3
+Female,177,81,3
+Male,145,78,4
+Male,170,81,3
+Male,181,141,5
+Male,165,155,5
+Female,174,65,2
+Female,146,110,5
+Male,178,85,3
+Male,166,61,2
+Male,191,62,1
+Female,177,155,5
+Female,183,50,0
+Male,151,114,5
+Male,182,98,3
+Female,142,159,5
+Female,188,90,3
+Male,161,89,4
+Male,153,70,3
+Male,140,143,5
+Male,169,141,5
+Female,162,159,5
+Male,183,147,5
+Female,162,58,2
+Female,172,109,4
+Female,150,119,5
+Female,169,145,5
+Female,184,132,4
+Male,159,104,5
+Male,163,131,5
+Male,156,137,5
+Female,157,52,2
+Male,147,84,4
+Male,141,86,5
+Male,173,139,5
+Male,154,145,5
+Male,168,148,5
+Male,168,50,1
+Male,145,130,5
+Male,152,103,5
+Female,187,121,4
+Female,163,57,0
+Male,178,83,3
+Female,187,94,3
+Female,179,114,4
+Male,190,80,2
+Male,172,75,3
+Male,188,57,1
+Male,193,65,1
+Female,147,126,5
+Female,147,94,5
+Male,166,107,4
+Female,192,139,4
+Male,181,139,4
+Male,150,74,4
+Male,178,160,5
+Female,156,52,2
+Male,149,100,5
+Male,156,74,4
+Male,183,105,3
+Female,162,68,3
+Female,165,83,4
+Female,168,143,5
+Male,160,156,5
+Female,169,88,2
+Female,140,76,4
+Female,187,92,3
+Male,151,82,4
+Female,186,140,5
+Male,182,108,4
+Male,188,81,2
+Male,179,110,4
+Female,156,126,5
+Male,188,114,4
+Male,183,153,5
+Male,144,88,5
+Male,196,69,1
+Male,171,141,5
+Male,171,147,5
+Female,180,156,5
+Male,191,146,5
+Female,179,67,2
+Female,180,60,2
+Female,154,132,5
+Male,188,99,3
+Male,142,135,5
+Male,170,95,4
+Male,152,141,5
+Female,190,118,4
+Female,181,111,4
+Male,153,104,5
+Male,187,140,5
+Female,144,66,4
+Female,148,54,2
+Female,199,92,2
+Female,167,85,4
+Female,164,71,3
+Female,185,102,3
+Female,164,160,5
+Male,142,71,4
+Male,165,68,2
+Female,172,62,2
+Female,157,56,2
+Male,155,57,2
+Female,167,153,5
+Female,164,126,5
+Female,189,125,4
+Female,161,145,5
+Female,155,71,3
+Female,171,118,4
+Female,154,92,4
+Male,179,83,3
+Male,170,115,4
+Female,184,106,4
+Female,191,68,2
+Male,162,58,2
+Male,178,138,5
+Female,157,60,2
+Male,184,83,2
+Male,197,88,2
+Female,160,51,2
+Male,184,153,5
+Male,190,50,0
+Male,174,90,3
+Female,189,124,4
+Female,186,143,5
+Female,180,58,1
+Female,186,148,4
+Female,193,61,1
+Male,161,103,4
+Female,151,158,5
+Female,195,147,4
+Female,184,152,5
+Male,141,80,5
+Female,185,94,3
+Female,186,127,4
+Male,142,131,5
+Female,147,67,4
+Male,151,62,3
+Female,160,124,5
+Male,185,60,1
+Female,163,63,2
+Male,174,95,4
+Female,150,144,5
+Male,142,91,5
+Male,178,142,5
+Female,154,96,5
+Male,176,87,3
+Male,159,120,5
+Male,191,62,1
+Male,177,117,4
+Male,151,154,5
+Female,182,149,5
+Female,197,72,2
+Male,146,138,5
+Female,160,83,4
+Female,157,66,3
+Female,150,50,2
+Female,167,58,2
+Female,180,70,2
+Female,183,76,2
+Female,183,87,3
+Female,152,154,5
+Female,164,71,3
+Male,187,96,3
+Male,169,136,5
+Female,149,61,3
+Male,163,137,5
+Female,195,104,3
+Male,174,107,4
+Male,182,70,2
+Male,169,110,4
+Male,193,130,4
+Male,148,141,5
+Male,186,68,2
+Male,165,143,5
+Female,146,123,5
+Female,166,133,5
+Male,179,56,1
+Female,177,101,4
+Male,181,154,5
+Female,161,154,5
+Female,157,103,5
+Female,169,98,4
+Female,152,114,5
+Female,162,64,2
+Male,162,130,5
+Female,177,61,2
+Female,195,61,1
+Male,140,146,5
+Female,186,146,5
+Female,178,107,4
+Male,174,54,1
+Female,180,59,1
+Male,188,141,4
+Female,187,130,4
+Female,153,77,4
+Female,165,95,4
+Female,178,79,2
+Female,163,154,5
+Female,150,97,5
+Male,179,127,4
+Male,165,62,2
+Male,168,158,5
+Female,153,133,5
+Male,184,157,5
+Male,188,65,1
+Female,166,153,5
+Female,172,116,4
+Male,182,73,2
+Male,143,149,5
+Male,152,146,5
+Female,186,128,4
+Male,159,140,5
+Male,146,70,4
+Female,176,121,4
+Female,146,101,5
+Male,159,145,5
+Male,162,157,5
+Female,172,90,4
+Female,169,121,5
+Male,182,50,0
+Female,183,79,2
+Male,176,77,2
+Female,188,128,4
+Female,175,83,2
+Male,154,81,4
+Female,184,147,5
+Male,179,123,4
+Male,152,132,5
+Male,179,56,1
+Female,145,141,5
+Female,181,80,2
+Male,158,127,5
+Female,188,99,3
+Male,145,142,5
+Male,161,115,5
+Male,198,109,3
+Male,147,142,5
+Male,154,112,5
+Female,178,65,2
+Male,195,153,5
+Female,167,79,3
+Male,183,131,4
+Female,164,142,5
+Male,167,64,2
+Female,151,55,2
+Female,147,107,5
+Female,155,115,5
+Female,172,108,4
+Female,142,86,5
+Male,146,85,4
+Female,188,115,4
+Male,173,111,4
+Female,160,109,5
+Male,187,80,2
+Male,198,136,4
+Female,179,150,5
+Female,164,59,2
+Female,146,147,5
+Female,198,50,0
+Female,170,53,1
+Male,152,98,5
+Female,150,153,5
+Female,184,121,4
+Female,141,136,5
+Male,150,95,5
+Male,173,131,5

app.py

@@ -0,0 +1,42 @@
+import streamlit as st
+import pandas as pd
+import joblib  # You can use pickle if you prefer
+
+# Load the model from the pickle file
+model_path = "model.pkl"
+model = joblib.load(model_path)
+
+# Create the UI
+st.title('BMI Prediction')
+
+# Input fields
+gender = st.selectbox('Gender', ['Male', 'Female'])
+height = st.number_input('Height (in cm)', min_value=130, max_value=200, value=130)
+weight = st.number_input('Weight (in kg)', min_value=30, max_value=150, value=30)
+
+# Map gender to numerical values
+gender_map = {'Male': 0, 'Female': 1}
+gender = gender_map[gender]
+
+# Dictionary to map the prediction to labels
+bmi_labels = {
+    0: "Extremely Weak",
+    1: "Weak",
+    2: "Normal",
+    3: "Overweight",
+    4: "Obesity",
+    5: "Extreme Obesity"
+}
+
+# Predict BMI Index
+if st.button('Predict BMI'):
+    # Validation checks
+    if height < 130 or height > 200:
+        st.error('Height must be between 130 and 200 cm.')
+    elif weight < 30 or weight > 150:
+        st.error('Weight must be between 30 and 150 kg.')
+    else:
+        input_data = pd.DataFrame([[gender, height, weight]], columns=['Gender', 'Height', 'Weight'])
+        prediction = model.predict(input_data)[0]
+        prediction_label = bmi_labels.get(prediction, "Unknown")
+        st.write(f'Predicted BMI Index: {prediction_label}')

requirements.txt

@@ -0,0 +1,7 @@
+mlflow==2.13.2
+cloudpickle==3.0.0
+numpy==1.24.4
+packaging==24.1
+pyyaml==6.0.1
+scikit-learn==1.3.2
+scipy==1.10.1