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import streamlit as st
import joblib
html_temp = """
<div style="background-color:green;padding:10px">
<h2 style="color:white;text-align:center;">crop Yeid Prediction </h2>
</div>
"""
st.markdown(html_temp, unsafe_allow_html=True)
image_url="https://miro.medium.com/v2/resize:fit:1358/0*k-lYNf3gZ1M2u6AN"
st.image(image_url, use_container_width=True)
st.markdown(f"""
<style>
/* Set the background image for the entire app */
.stApp {{
background-color: #FAC668;
background-size: 100px;
background-repeat:no;
background-attachment: auto;
background-position:full;
}}
</style>
""", unsafe_allow_html=True)
col1,col2=st.columns(2)
with col1:
# Area
options_Area = ['Albania', 'Algeria', 'Angola', 'Argentina', 'Armenia','Australia', 'Austria', 'Azerbaijan', 'Bahamas', 'Bahrain',
'Bangladesh', 'Belarus', 'Belgium', 'Botswana', 'Brazil','Bulgaria', 'Burkina Faso', 'Burundi', 'Cameroon', 'Canada',
'Central African Republic', 'Chile', 'Colombia', 'Croatia',
'Denmark', 'Dominican Republic', 'Ecuador', 'Egypt', 'El Salvador','Eritrea', 'Estonia', 'Finland', 'France', 'Germany', 'Ghana',
'Greece', 'Guatemala', 'Guinea', 'Guyana', 'Haiti', 'Honduras',
'Hungary', 'India', 'Indonesia', 'Iraq', 'Ireland', 'Italy',
'Jamaica', 'Japan', 'Kazakhstan', 'Kenya', 'Latvia', 'Lebanon',
'Lesotho', 'Libya', 'Lithuania', 'Madagascar', 'Malawi',
'Malaysia', 'Mali', 'Mauritania', 'Mauritius', 'Mexico',
'Montenegro', 'Morocco', 'Mozambique', 'Namibia', 'Nepal',
'Netherlands', 'New Zealand', 'Nicaragua', 'Niger', 'Norway',
'Pakistan', 'Papua New Guinea', 'Peru', 'Poland', 'Portugal',
'Qatar', 'Romania', 'Rwanda', 'Saudi Arabia', 'Senegal',
'Slovenia', 'South Africa', 'Spain', 'Sri Lanka', 'Sudan',
'Suriname', 'Sweden', 'Switzerland', 'Tajikistan', 'Thailand',
'Tunisia', 'Turkey', 'Uganda', 'Ukraine', 'United Kingdom',
'Uruguay', 'Zambia', 'Zimbabwe']
Area= st.selectbox('Choose an Area:', options_Area)
Area_value=options_Area.index(Area)
with col2:
# Item
options_Item =['Maize','Potatoes', 'Rice, paddy', 'Sorghum', 'Soybeans',
'Wheat','Cassava', 'Sweet potatoes', 'Plantains and others', 'Yams']
Item= st.selectbox('Choose a Item:', options_Item)
Item_value=options_Item.index(Item)
# average_rain_fall_mm_per_year
avg_rainfall=st.slider('Slide The value to get Avg Rainfall',min_value=51,max_value=3240,value=1)
# Pesticides_tonnes
pes_tonnes=st.slider('Slide The value to get Pesticides Tonnes',min_value=1,max_value=367778,value=1)
# Avg Temp
avg_temp=st.slider('Slide The value to get Avg Temperature',min_value=1,max_value=30,value=1)
model=joblib.load("model_rf.joblib")
if st.button("Enter"):
try:
# Prepare input for the model
input_features = [[Area_value, Item_value, avg_rainfall, pes_tonnes, avg_temp]]
# Get prediction from the model
output = model.predict(input_features)[0]
# Display the result with styling
st.success(f"🌱 The predicted **hg/ha_yield** is: **{output:.2f}**")
except Exception as e:
st.error(f"⚠️ Error in prediction: {e}")
st.write("")
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