Create app.py

app.py

@@ -0,0 +1,98 @@
+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('Mobile_Price_Prediction_LogisticRegression.pkl', 'rb'))
+
+# 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 = '53.png'
+    st.image(image, use_column_width=True)
+    
+    st.subheader("Enter the following values:")
+
+    battery_power = st.number_input("Battery Power")
+    blue = st.number_input("Blue")
+    clock_speed = st.number_input("Clock Speed")
+    dual_sim = st.number_input("Dual Sim")
+    fc = st.number_input("fc")
+    four_g = st.number_input("4G")
+    int_memory = st.number_input("Int Memory")
+    m_dep = st.number_input("M Dep")
+    mobile_wt = st.number_input("Mobile Weight")
+    n_cores = st.number_input("No. of Cores")
+    pc = st.number_input("PC")
+    px_height = st.number_input("PX Height")
+    px_width = st.number_input("PX Width")
+    ram = st.number_input("RAM")
+    sc_h = st.number_input("SC Height")
+    sc_w = st.number_input("SC weight")
+    talk_time = st.number_input("Talk Time")
+    three_g = st.number_input("3G")
+    touch_screen = st.number_input("Touch Screen")
+    wifi = st.number_input("Wifi")
+ 
+    # Create a feature list from the user inputs
+    features = [[battery_power,blue,clock_speed,dual_sim,fc,four_g,int_memory,m_dep,mobile_wt,n_cores,pc,px_height,px_width,ram,sc_h,sc_w,talk_time,three_g,touch_screen,wifi]]
+    
+    # Load the model
+    model = load_model()
+    
+    # Make a prediction when the user clicks the "Predict" button
+    if st.button('Predict Model'):
+        predicted_value = model_prediction(model, features)
+        if predicted_value=='0':
+           st.success('The Mobile Price is Low')
+        elif predicted_value=='1':
+           st.success('The Mobile Price is Medium')
+        elif predicted_value=='2':
+           st.success('The Mobile Price is High')
+        else:
+           st.success('The Mobile Price is Very High')
+
+
+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">💡 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="Mobile Price Classification",
+        page_icon=":chart_with_upwards_trend:",
+        )
+    
+        st.title("Welcome to our Mobile Price Classification App!")
+    
+        app_design()    
+        st.header("About HiDevs Community")
+        about_hidevs()
+
+if __name__ == '__main__':
+        main()