Update app.py

app.py

@@ -0,0 +1,66 @@
+import streamlit as st
+import numpy as np
+import pickle
+import streamlit.components.v1 as components
+from sklearn.preprocessing import LabelEncoder
+le = LabelEncoder()
+
+# Load the pickled model
+def load_model():
+    return pickle.load(open('Diamond_Price_Prediction_LinearRegression.pkl', 'rb'))
+
+# Function for model prediction
+def model_prediction(model, features):
+    predicted = str(model.predict(features)[0])
+    return predicted
+    
+def transform(text):
+    text = le.fit_transform(text)
+    return text[0]
+
+def app_design():
+    # Add input fields for High, Open, and Low values
+    image = ''
+    st.image(image, use_column_width=True)
+    
+    st.subheader("Enter the following values:")
+
+    Carat = st.number_input("Carat(Weight of Daimond)")
+    Cut = st.text_input("Cut(Quality) ('Ideal','Premium','Good','Very Good','Fair')")
+    Cut = transform([Cut])
+    Color = st.text_input("Color ('E','I','J','H','F','G','D')")
+    Color=transform([Color])
+    Clarity = st.text_input("Clarity ('SI2','SI1','VS1','VS2','VVS2','VVS1','I1','IF')")
+    Clarity=transform([Clarity])
+    Depth = st.number_input("Depth")
+    Table = st.number_input("Table")
+    X_length = st.number_input("X length")
+    Y_width = st.number_input("Y width")
+    Z_depth = st.number_input("Z depth")
+ 
+    # Create a feature list from the user inputs
+    features = [[Carat,Cut,Color,Clarity,Depth,Table,X_length,Y_width,Z_depth]]
+    
+    # Load the model
+    model = load_model()
+    
+    # Make a prediction when the user clicks the "Predict" button
+    if st.button('Predict Price'):
+        predicted_value = model_prediction(model, features)
+        st.success(f"The Price is: {predicted_value}")       
+
+
+
+def main():
+
+        # Set the app title and add your website name and logo
+        st.set_page_config(
+        page_title="Diamond Price Prediction",
+        page_icon=":chart_with_upwards_trend:",
+        )
+    
+        st.title("Welcome to our Diamond Price Prediction App!")
+    
+
+if __name__ == '__main__':
+        main()