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  1. README.md +8 -5
  2. app.py +86 -0
  3. crime_prediction_rr.pkl +3 -0
  4. requirements.txt +11 -0
README.md CHANGED
@@ -1,10 +1,13 @@
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  ---
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- title: Crime Prediction2
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- emoji: 📉
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- colorFrom: indigo
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- colorTo: indigo
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- sdk: static
 
 
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  pinned: false
 
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  ---
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+ title: Crime Prediction
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+ emoji: 🦀
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+ colorFrom: yellow
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+ colorTo: green
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+ sdk: streamlit
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+ sdk_version: 1.28.2
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+ app_file: app.py
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  pinned: false
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+ license: apache-2.0
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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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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+
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+ # Load the pickled model
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+ def load_model():
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+ return pickle.load(open('crime_prediction_rr.pkl', 'rb'))
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+
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+ # Function for model prediction
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+ def model_prediction(model, features):
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+ predicted = str(model.predict(features)[0])
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+ return predicted
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+
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+ def app_design():
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+ # Add input fields for High, Open, and Low values
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+ image = '9.png'
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+ st.image(image, use_column_width=True)
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+
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+ st.subheader("Enter the following values:")
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+
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+ year = st.number_input("Year")
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+ month = st.number_input("Month")
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+ day = st.number_input("Day")
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+ hour = st.number_input("Hour")
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+ dayofyear = st.number_input("Day Of Year")
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+ week = st.number_input("Week")
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+ weekofyear = st.number_input("Week of Year")
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+ dayofweek = st.number_input("Day of Week")
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+ weekday = st.number_input("Week Day")
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+ quarter = st.number_input("Quarter")
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+ latitude = st.number_input("Latitude")
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+ longitude = st.number_input("Longitude")
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+
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+
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+
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+ # Create a feature list from the user inputs
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+ features = [[year,month,day,hour,dayofyear,week,weekofyear,dayofweek,weekday,quarter,latitude,longitude]]
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+
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+ # Load the model
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+ model = load_model()
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+
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+ # Make a prediction when the user clicks the "Predict" button
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+ if st.button('Predict Crime'):
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+ predicted_value = model_prediction(model, features)
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+
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+ st.success(f"The Crime analysis is: {predicted_value}")
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+
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+
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+ def about_hidevs():
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+
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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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+
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+ def main():
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+
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+ # Set the app title and add your website name and logo
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+ st.set_page_config(
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+ page_title="Crime Prediction",
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+ page_icon=":chart_with_upwards_trend:",
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+ )
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+
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+ st.title("Welcome to our Crime Prediction App!")
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+
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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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+
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+ if __name__ == '__main__':
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+ main()
crime_prediction_rr.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0f36ff0478003217b32a78d551252450670613009f44ebb6fefacf21e4837870
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+ size 2023829
requirements.txt ADDED
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+ transformers
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+ torch
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+ numpy==1.21.4
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+ pandas==1.5.1
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+ ply==3.11
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+ pickleshare==0.7.5
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+ matplotlib==3.6.0
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+ scikit-learn==1.1.2
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+ seaborn==0.12.1
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+ statsmodels==0.13.5
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+ sklearn