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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "728431f5",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 1,
"id": "fd56baf1",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2023-12-25 15:31:55.354 \n",
" \u001b[33m\u001b[1mWarning:\u001b[0m to view this Streamlit app on a browser, run it with the following\n",
" command:\n",
"\n",
" streamlit run C:\\Users\\user\\anaconda3\\Lib\\site-packages\\ipykernel_launcher.py [ARGUMENTS]\n"
]
}
],
"source": [
"import streamlit as st\n",
"import pandas as pd\n",
"import joblib\n",
"\n",
"# Load trained model\n",
"model = joblib.load('mpg_model.pkl') # Ensure this path is correct\n",
"\n",
"def user_input_features():\n",
" cylinders = st.sidebar.slider('Cylinders', 3, 8, 4)\n",
" displacement = st.sidebar.number_input('Displacement')\n",
" horsepower = st.sidebar.number_input('Horsepower')\n",
" weight = st.sidebar.number_input('Weight')\n",
" acceleration = st.sidebar.number_input('Acceleration')\n",
" model_year = st.sidebar.slider('Model Year', 70, 82, 76)\n",
" data = {'cylinders': cylinders,\n",
" 'displacement': displacement,\n",
" 'horsepower': horsepower,\n",
" 'weight': weight,\n",
" 'acceleration': acceleration,\n",
" 'model_year': model_year}\n",
" features = pd.DataFrame(data, index=[0])\n",
" return features\n",
"\n",
"# Main Streamlit app interface\n",
"st.write(\"\"\"\n",
"# Simple MPG Prediction App\n",
"This app predicts the **Miles Per Gallon (MPG)** of your car!\n",
"\"\"\")\n",
"\n",
"# User input features\n",
"input_df = user_input_features()\n",
"\n",
"# Display the user input features\n",
"st.subheader('User Input features')\n",
"st.write(input_df)\n",
"\n",
"# Predict and display the output\n",
"st.subheader('Prediction')\n",
"prediction = model.predict(input_df)\n",
"st.write(f'Predicted MPG: {prediction[0]:.2f}')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f8836f1f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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