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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=500,max_value=2000) | |
| 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=15) | |
| Has_4G = st.selectbox("Has_4G",options=unique_four_g) | |
| memory = st.slider("memory",min_value=500,max_value=2000) | |
| 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], | |
| "bluetooth": [bluetooth], | |
| "clock_speed": [clock_speed], | |
| "dual_sim": [dual_sim], | |
| "Front_Camera_mega_pixels": [Front_Camera_mega_pixels], | |
| "Has_4G": [Has_4G], | |
| "memory": [memory], | |
| "Mobile_Depth": [Mobile_Depth], | |
| "Weight": [Weight], | |
| "Number_of_cores_of_processor": [ Number_of_cores_of_processor], | |
| "Primary_Camera_mega_pixels": [Primary_Camera_mega_pixels], | |
| "Pixel_Resolution_Height": [Pixel_Resolution_Height], | |
| "Pixel_Resolution_Width": [Pixel_Resolution_Width], | |
| "ram": [ram], | |
| "Screen_Height_of_mobile_in_cm": [Screen_Height_of_mobile_in_cm], | |
| "Screen_Width_of_mobile_in_cm": [Screen_Width_of_mobile_in_cm], | |
| "longest_time_that_a_single_battery_charge_will_last_when_you_are": [longest_time_that_a_single_battery_charge_will_last_when_you_are], | |
| "Has_3G": [Has_3G], | |
| "Has_touch_screen": [Has_touch_screen], | |
| "Has_wifi": [Has_wifi]})) | |
| #result = '>50k' if result[0] == 1 else '<50k' | |
| st.success("Your predicted Mobile prices is " +result) | |
| if __name__ == "__main__": | |
| main() | |
| # Show prediction | |
| # Run main() | |