5_🍎_Nurition.py

import streamlit as st
import pandas as pd
import numpy as np
import plotly.graph_objects as go
# from pydataset import data
from streamlit_extras.no_default_selectbox import selectbox
import matplotlib.pyplot as plt

st.title('Nutrition Calorie Tracker')
df=pd.read_csv("./food.csv", encoding='mac_roman')
ye=st.number_input('Enter Number of dishes', min_value=1, max_value=10)
i=0
j=0
calories=0
list1=[]
list2=[]

try:
    while(i<ye):
        st.write("--------------------")
        sel=selectbox('Select the food ',df['Food'].unique(),no_selection_label=" ",key=i)
        list1.append(sel)
        sel_serving=st.number_input('Select the number of servings ',min_value=1,max_value=10,value=1,step=1,key=j+100)
        # list2.append(sel_serving)
        i=i+1
        j=j+1
        st.write("Food : ",sel)
        st.write("Serving : ",sel_serving)
        st.write("Calories per serving : ",df[df['Food']==sel]['Calories'].values[0])
        cal= df[df['Food']==sel]['Calories'].values[0]*sel_serving
        list2.append(cal)
        st.write("Total calories for ",sel_serving,"servings of ",sel ,"= ",cal,"Calories ")
        
        calories += cal
    st.write("--------------------")
    
    st.write("Total Calories:", calories)

    # Create pie chart
    fig = go.Figure(data=[go.Pie(labels=list1, values=list2, textinfo='label+percent', insidetextorientation='radial')])
    fig.update_layout(title="Calorie Breakdown")
    st.plotly_chart(fig)

    
except:
    st.write("")