Create app.py

app.py

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+import streamlit as st
+import numpy as np
+import pickle
+import streamlit.components.v1 as components
+
+# Load the pickled model
+def load_model():
+    return pickle.load(open('Student_Marks_LinearRegresssionnew.pkl', 'rb')) #change
+
+# Function for model prediction
+def model_prediction(model, features):
+    predicted = str(model.predict(features)[0])
+    return predicted
+
+def app_design():
+    # Add input fields for High, Open, and Low values
+    image = '38.png' #change
+    st.image(image, use_column_width=True)
+    
+    st.subheader("Enter the following values:") #change
+
+    school= st.number_input("school")
+    sex= st.number_input("sex")
+    age= st.number_input("age")
+    famsize= st.number_input("famsize")
+    Pstatus= st.number_input("Pstatus")
+    Medu= st.number_input("Medu")
+    Fedu= st.number_input("Fedu")
+    Mjob= st.number_input("Mjob")
+    Fjob= st.number_input("Fjob")
+    reason = st.number_input("reason")
+    guardian= st.number_input("guardian")
+    traveltime= st.number_input("traveltime")
+    studytime= st.number_input("studytime")
+    failures= st.number_input("failures")
+    schoolsup= st.number_input("schoolsup")
+    paid= st.number_input("paid")
+    activities= st.number_input("activities")
+    nursery= st.number_input("nursery")
+    internet= st.number_input("internet")
+    freetime= st.number_input("freetime")
+    goout= st.number_input("goout")
+    Dalc= st.number_input("Dalc")
+    Walc= st.number_input("Walc")
+    health= st.number_input("health")
+    absences= st.number_input("absences")
+    G1= st.number_input("G1")
+    G2= st.number_input("G2")
+    
+    
+ # Create a feature list from the user inputs
+    features = [[school,sex,age,famsize,Pstatus,Medu,Fedu,Mjob,Fjob,reason,guardian,traveltime,studytime,failures,schoolsup,famsup,paid,activities,nursery,higher,internet,famrel,freetime,goout,Dalc,Walc,health,absences,G1,G2]]
+    
+    # Load the model
+    model = load_model()
+    
+    # Make a prediction when the user clicks the "Predict" button
+    if st.button('Predict Grade'):
+        predicted_value = model_prediction(model, features)
+      
+        st.success(f"Student Grade is: {predicted_value}")       
+
+
+def about_hidevs():
+
+        components.html("""
+        <div>
+        <h4>🚀 Unlock Your Dream Job with HiDevs Community!</h4>
+        <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>
+        <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">✨ 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>
+        <p class="subtitle">💡 Join us now, and turbocharge your career!</p>
+        <p class="subtitle"><a class="link" href="https://hidevscommunity.wixsite.com/hidevs" target="__blank">Website</a>
+        <a class="link" href="https://www.youtube.com/@HidevsCommunity1307/" target="__blank">YouTube</a>
+        <a class="link" href="https://www.instagram.com/hidevs_community/" target="__blank">Instagram</a>
+        <a class="link" href="https://medium.com/@hidevscommunity" target="__blank">Medium</a>
+        <a class="link" href="https://www.linkedin.com/company/hidevs-community/" target="__blank">LinkedIn</a>
+        <a class="link" href="https://github.com/hidevscommunity" target="__blank">GitHub</a></p>
+      </div>
+        """,
+                    height=600)
+
+def main():
+
+        # Set the app title and add your website name and logo
+        st.set_page_config(
+        page_title="Student Gade Prediction",
+        page_icon=":chart_with_upwards_trend:",
+        )
+    
+        st.title("Welcome to our Student Grade Prediction App!")
+    
+        app_design()    
+        st.header("About HiDevs Community")
+        about_hidevs()
+
+if __name__ == '__main__':
+        main()