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Parent(s):
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Create app.py
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app.py
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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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from sklearn.feature_extraction.text import CountVectorizer
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from sklearn.model_selection import train_test_split
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import pandas as pd
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import nltk
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import re
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from sklearn.naive_bayes import BernoulliNB
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from collections import Counter
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from nltk.corpus import stopwords
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df = pd.read_csv('spam_new.csv',encoding= 'latin-1')
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# X will be the features
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X = np.array(df["message"])
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# y will be the target variable
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y = np.array(df["class"])
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cv = CountVectorizer()
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X = cv.fit_transform(X)
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X_train, X_test, y_train, y_test = train_test_split(X, y,
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test_size=0.33,
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random_state=42)
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model = BernoulliNB()
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model.fit(X_train, y_train)
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# Function for model prediction
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def model_prediction(features):
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features = cv.transform([features]).toarray()
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Message = str(list(model.predict(features)))
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return Message
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def app_design():
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image = '58.png' # Load image
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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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text= st.text_input("Enter your text")
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# Create a feature list from the user inputs
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features = text # add features according to notebook
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# Make a prediction when the user clicks the "Predict" button
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if st.button('Predict Spam'):
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predicted_value = model_prediction(features)
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if predicted_value == "['ham']":
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st.success("Your comment is not spam")
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elif predicted_value == "['spam']":
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st.success("Your Comment is spam")
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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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# 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="Spam Detection",
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page_icon=":chart_with_upwards_trend:",
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)
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st.title("Welcome to our Spam Detection 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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