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import streamlit as st |
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import numpy as np |
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import pickle |
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import streamlit.components.v1 as components |
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def load_model(): |
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return pickle.load(open('bike_share_demand_pred_li.pkl', 'rb')) |
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def model_prediction(model, features): |
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predicted = str(round(model.predict(features)[0][0])) |
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return predicted |
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def app_design(): |
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image = '3.png' |
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st.image(image, use_column_width=True) |
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st.subheader("Enter the following values:") |
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season = st.selectbox('Season',('Spring', 'Summer', 'Fall','Winter')) |
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if season == 'Spring': |
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season = 1 |
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elif season == 'Summer': |
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season = 2 |
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elif season == 'Fall': |
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season = 3 |
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elif season == 'Winter': |
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season = 4 |
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holiday = st.number_input('Holiday') |
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workingday = st.number_input('Workingday') |
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weather = st.number_input('Weather') |
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temp = st.number_input('Temp') |
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atemp = st.number_input('Atemp') |
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humidity = st.number_input('Humidity') |
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windspeed = st.number_input('Windspeed') |
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casual = st.number_input('Casual') |
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registered = st.number_input('Registered') |
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features = [[season, holiday, workingday, weather, temp, atemp, humidity, windspeed, casual, registered]] |
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model = load_model() |
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if st.button('Predict Bike Demands'): |
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predicted_value = model_prediction(model, features) |
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st.success(f"The Bike demands are : {predicted_value[0]}") |
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def about_hidevs(): |
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components.html(""" |
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<div> |
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<h4>🚀 Unlock Your Dream Job with HiDevs Community!</h4> |
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<p class="subtitle">🔍 Seeking the perfect job? HiDevs Community is your gateway to career success in the tech industry. Explore free expert courses, job-seeking support, and career transformation tips.</p> |
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<p class="subtitle">💼 We offer an upskill program in <b>Gen AI, Data Science, Machine Learning</b>, and assist startups in adopting <b>Gen AI</b> at minimal development costs.</p> |
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<p class="subtitle">🆓 Best of all, everything we offer is <b>completely free</b>! We are dedicated to helping society.</p> |
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<p class="subtitle">Book free of cost 1:1 mentorship on any topic of your choice — <a class="link" href="https://topmate.io/deepakchawla1307">topmate</a></p> |
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<p class="subtitle">✨ We dedicate over 30 minutes to each applicant’s resume, LinkedIn profile, mock interview, and upskill program. If you’d like our guidance, check out our services <a class="link" href="https://hidevscommunity.wixsite.com/hidevs">here</a></p> |
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<p class="subtitle">💡 Join us now, and turbocharge your career!</p> |
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<p class="subtitle"><a class="link" href="https://hidevscommunity.wixsite.com/hidevs" target="__blank">Website</a> |
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<a class="link" href="https://www.youtube.com/@HidevsCommunity1307/" target="__blank">YouTube</a> |
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<a class="link" href="https://www.instagram.com/hidevs_community/" target="__blank">Instagram</a> |
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<a class="link" href="https://medium.com/@hidevscommunity" target="__blank">Medium</a> |
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<a class="link" href="https://www.linkedin.com/company/hidevs-community/" target="__blank">LinkedIn</a> |
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<a class="link" href="https://github.com/hidevscommunity" target="__blank">GitHub</a></p> |
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</div> |
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""", |
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height=600) |
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def main(): |
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st.set_page_config( |
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page_title="Bike Sharing Demand Prediction", |
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page_icon=":chart_with_upwards_trend:", |
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) |
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st.title("Welcome to our Bike Sharing Demand Prediction App!") |
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app_design() |
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st.header("About HiDevs Community") |
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about_hidevs() |
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if __name__ == '__main__': |
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main() |
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