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import joblib
import pandas as pd
import streamlit as st
model = joblib.load('model.joblib')
unique_values = joblib.load('unique_values.joblib')
#unique_battery_power = unique_values["battery_power"]
unique_blue = unique_values["blue"]
#unique_clock_speed = unique_values["clock_speed"]
unique_dual_sim = unique_values["dual_sim"]
#unique_fc = unique_values["fc"]
unique_four_g = unique_values["four_g"]
#unique_int_memory = unique_values["int_memory"]
#unique_m_dep = unique_values["m_dep"]
#unique_mobile_wt = unique_values["mobile_wt"]
#unique_n_cores = unique_values["n_cores"]
#unique_pc = unique_values["pc"]
#unique_px_height = unique_values["px_height"]
#unique_px_width = unique_values["px_width"]
#unique_px_ram = unique_values["ram"]
#unique_px_sc_h = unique_values["sc_h"]
#unique_sc_w = unique_values["sc_w"]
#unique_talk_time = unique_values["talk_time"]
unique_three_g = unique_values["three_g"]
unique_touch_screen = unique_values["touch_screen"]
unique_wifi = unique_values["wifi"]
def main():
st.title("Mobile prices")
with st.form("questionaire"):
battery_power = st.slider("battery_power",min_value=501,max_value=1998)
bluetooth = st.selectbox("bluetooth",options=unique_blue)
clock_speed = st.slider("clock_speed",min_value=0,max_value=3)
dual_sim = st.selectbox("dual_sim",options=unique_dual_sim)
Front_Camera_mega_pixels = st.slider("Front_Camera_mega_pixels",min_value=0,max_value=19)
Has_4G = st.selectbox("Has_4G",options=unique_four_g)
memory = st.slider("memory",min_value=2,max_value=64)
Mobile_Depth = st.slider("Mobile_Depth",min_value=0,max_value=1)
Weight = st.slider("Weight",min_value=80,max_value=200)
Number_of_cores_of_processor = st.slider("Number_of_cores_of_processor",min_value=1,max_value=8)
Primary_Camera_mega_pixels = st.slider("Primary_Camera_mega_pixels",min_value=0,max_value=20)
Pixel_Resolution_Height = st.slider("Pixel_Resolution_Height",min_value=0,max_value=1960)
Pixel_Resolution_Width = st.slider("Pixel_Resolution_Width",min_value=500,max_value=1998)
ram = st.slider("ram",min_value=256,max_value=3998)
Screen_Height_of_mobile_in_cm = st.slider("Screen_Height_of_mobile_in_cm",min_value=5,max_value=19)
Screen_Width_of_mobile_in_cm = st.slider("Screen_Width_of_mobile_in_cm",min_value=0,max_value=18)
longest_time_that_a_single_battery_charge_will_last_when_you_are = st.slider("longest_time_that_a_single_battery_charge_will_last_when_you_are",min_value=2,max_value=20)
Has_3G = st.selectbox("Has_3G",options=unique_three_g)
Has_touch_screen = st.selectbox("Has_touch_screen",options=unique_touch_screen)
Has_wifi = st.selectbox("Has_wifi",options=unique_wifi)
# clicked==True only when the button is clicked
clicked = st.form_submit_button("Mobile prices")
if clicked:
result=model.predict(pd.DataFrame({"battery_power": [battery_power],
"blue": [bluetooth],
"clock_speed": [clock_speed],
"dual_sim": [dual_sim],
"fc": [Front_Camera_mega_pixels],
"four_g": [Has_4G],
"int_memory": [memory],
"m_dep": [Mobile_Depth],
"mobile_wt": [Weight],
"n_cores": [ Number_of_cores_of_processor],
"pc": [Primary_Camera_mega_pixels],
"px_height": [Pixel_Resolution_Height],
"px_width": [Pixel_Resolution_Width],
"ram": [ram],
"sc_h": [Screen_Height_of_mobile_in_cm],
"sc_w": [Screen_Width_of_mobile_in_cm],
"talk_time": [longest_time_that_a_single_battery_charge_will_last_when_you_are],
"three_g": [Has_3G],
"touch_screen": [Has_touch_screen],
"wifi": [Has_wifi]}))
if result[0] == 0:
result = 'low cost'
elif result[0] == 1:
result = 'high cost'
else:
result = 'very high cost'
st.success('Your predicted Mobile prices is '+result)
if __name__ == "__main__":
main()
# Show prediction
# Run main()
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