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| import gradio as gr | |
| import pandas as pd | |
| import joblib | |
| import numpy as np | |
| from sklearn.pipeline import Pipeline | |
| from sklearn.impute import SimpleImputer | |
| from sklearn.compose import ColumnTransformer | |
| from sklearn.preprocessing import StandardScaler, OneHotEncoder | |
| from sklearn.linear_model import LogisticRegression | |
| # Load the saved full pipeline from the file | |
| full_pipeline = joblib.load('pipe.pkl') | |
| # Define the predict function | |
| def predict(gender, SeniorCitizen, Partner, Dependents, Contract, tenure, MonthlyCharges, | |
| TotalCharges, PaymentMethod, PhoneService, MultipleLines, InternetService, | |
| OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, | |
| StreamingMovies, PaperlessBilling): | |
| # Create a DataFrame from the input data | |
| input_data = pd.DataFrame({ | |
| 'gender': [gender] if gender else ['Male'], # Replace None with default value | |
| 'SeniorCitizen': [SeniorCitizen] if SeniorCitizen is not None else [0], # Replace None with default value | |
| 'Partner': [Partner] if Partner else ['No'], # Replace None with default value | |
| 'Dependents': [Dependents] if Dependents else ['No'], # Replace None with default value | |
| 'tenure': [tenure] if tenure else [1], # Replace None with default value | |
| 'PhoneService': [PhoneService] if PhoneService else ['Yes'], # Replace None with default value | |
| 'MultipleLines': [MultipleLines] if MultipleLines else ['No'], # Replace None with default value | |
| 'InternetService': [InternetService] if InternetService else ['DSL'], # Replace None with default value | |
| 'OnlineSecurity': [OnlineSecurity] if OnlineSecurity else ['No'], # Replace None with default value | |
| 'OnlineBackup': [OnlineBackup] if OnlineBackup else ['No'], # Replace None with default value | |
| 'DeviceProtection': [DeviceProtection] if DeviceProtection else ['No'], # Replace None with default value | |
| 'TechSupport': [TechSupport] if TechSupport else ['No'], # Replace None with default value | |
| 'StreamingTV': [StreamingTV] if StreamingTV else ['No'], # Replace None with default value | |
| 'StreamingMovies': [StreamingMovies] if StreamingMovies else ['No'], # Replace None with default value | |
| 'Contract': [Contract] if Contract else ['Month-to-month'], # Replace None with default value | |
| 'PaperlessBilling': [PaperlessBilling] if PaperlessBilling else ['No'], # Replace None with default value | |
| 'PaymentMethod': [PaymentMethod] if PaymentMethod else ['Electronic check'], # Replace None with default value | |
| 'MonthlyCharges': [MonthlyCharges] if MonthlyCharges else [0.0], # Replace None with default value | |
| 'TotalCharges': [TotalCharges] if TotalCharges else [0.0] # Replace None with default value | |
| }) | |
| # Make predictions using the loaded logistic regression model | |
| #predict probabilities | |
| predictions = full_pipeline.predict_proba(input_data) | |
| #take the index of the maximum probability | |
| index=np.argmax(predictions) | |
| higher_pred_prob=round((predictions[0][index])*100) | |
| #return predictions[0] | |
| print(f'[Info] Predicted probabilities{predictions},{full_pipeline.classes_}') | |
| if full_pipeline.classes_[index] == "Yes": | |
| return f"This Customer is likely to Churn\nWe are {higher_pred_prob}% confident about this prediction" | |
| else: | |
| return f"This Customer is Not likely to Churn \nWe are {higher_pred_prob}% confident about this prediction" | |
| # Setting Gradio App Interface | |
| with gr.Blocks(css=".gradio-container {background-color: grey}",theme=gr.themes.Base(primary_hue='blue'),title='Uriel') as demo: | |
| gr.Markdown("# Teleco Customer Churn Prediction #\n*This App allows the user to predict whether a customer will churn or not by entering values in the given fields. Any field left blank takes the default value.*") | |
| # Receiving ALL Input Data here | |
| gr.Markdown("**Demographic Data**") | |
| with gr.Row(): | |
| gender = gr.Dropdown(label="Gender", choices=["Male", "Female"]) | |
| SeniorCitizen = gr.Radio(label="Senior Citizen", choices=[1, 0]) | |
| Partner = gr.Radio(label="Partner", choices=["Yes", "No"]) | |
| Dependents = gr.Radio(label="Dependents", choices=["Yes", "No"]) | |
| gr.Markdown("**Service Length and Charges (USD)**") | |
| with gr.Row(): | |
| Contract = gr.Dropdown(label="Contract", choices=["Month-to-month", "One year", "Two year"]) | |
| tenure = gr.Slider(label="Tenure (months)", minimum=1, step=1, interactive=True) | |
| MonthlyCharges = gr.Slider(label="Monthly Charges", step=0.05) | |
| TotalCharges = gr.Slider(label="Total Charges", step=0.05) | |
| # Phone Service Usage part | |
| gr.Markdown("**Phone Service Usage**") | |
| with gr.Row(): | |
| PhoneService = gr.Radio(label="Phone Service", choices=["Yes", "No"]) | |
| MultipleLines = gr.Dropdown(label="Multiple Lines", choices=[ | |
| "Yes", "No", "No phone service"]) | |
| # Internet Service Usage part | |
| gr.Markdown("**Internet Service Usage**") | |
| with gr.Row(): | |
| InternetService = gr.Dropdown(label="Internet Service", choices=["DSL", "Fiber optic", "No"]) | |
| OnlineSecurity = gr.Dropdown(label="Online Security", choices=["Yes", "No", "No internet service"]) | |
| OnlineBackup = gr.Dropdown(label="Online Backup", choices=["Yes", "No", "No internet service"]) | |
| DeviceProtection = gr.Dropdown(label="Device Protection", choices=["Yes", "No", "No internet service"]) | |
| TechSupport = gr.Dropdown(label="Tech Support", choices=["Yes", "No", "No internet service"]) | |
| StreamingTV = gr.Dropdown(label="TV Streaming", choices=["Yes", "No", "No internet service"]) | |
| StreamingMovies = gr.Dropdown(label="Movie Streaming", choices=["Yes", "No", "No internet service"]) | |
| # Billing and Payment part | |
| gr.Markdown("**Billing and Payment**") | |
| with gr.Row(): | |
| PaperlessBilling = gr.Radio( | |
| label="Paperless Billing", choices=["Yes", "No"]) | |
| PaymentMethod = gr.Dropdown(label="Payment Method", choices=["Electronic check", "Mailed check", "Bank transfer (automatic)", "Credit card (automatic)"]) | |
| # Output Prediction | |
| output = gr.Text(label="Outcome") | |
| submit_button = gr.Button("Predict") | |
| submit_button.click(fn= predict, | |
| outputs= output, | |
| inputs=[gender, SeniorCitizen, Partner, Dependents, Contract, tenure, MonthlyCharges, TotalCharges, PaymentMethod, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, PaperlessBilling], | |
| ), | |
| # Add the reset and flag buttons | |
| def clear(): | |
| output.value = "" | |
| return 'Predicted values have been reset' | |
| clear_btn = gr.Button("Reset", variant="primary") | |
| clear_btn.click(fn=clear, inputs=None, outputs=output) | |
| demo.launch(inbrowser = True) | |
| # Make predictions using the loaded logistic regression model | |
| predictions = full_pipeline.predict(input_data) | |
| #return predictions[0] | |
| if predictions[0] == "Yes": | |
| return "Churn" | |
| else: | |
| return "Not Churn" | |
| # Setting Gradio App Interface | |
| with gr.Blocks(css=".gradio-container {background-color: grey}") as demo: | |
| gr.Markdown("# Teleco Customer Churn Prediction #\n*This App allows the user to predict whether a customer will churn or not by entering values in the given fields. Any field left blank takes the default value.*") | |
| # Receiving ALL Input Data here | |
| gr.Markdown("**Demographic Data**") | |
| with gr.Row(): | |
| gender = gr.Dropdown(label="Gender", choices=["Male", "Female"]) | |
| SeniorCitizen = gr.Radio(label="Senior Citizen", choices=[1, 0]) | |
| Partner = gr.Radio(label="Partner", choices=["Yes", "No"]) | |
| Dependents = gr.Radio(label="Dependents", choices=["Yes", "No"]) | |
| gr.Markdown("**Service Length and Charges (USD)**") | |
| with gr.Row(): | |
| Contract = gr.Dropdown(label="Contract", choices=["Month-to-month", "One year", "Two year"]) | |
| tenure = gr.Slider(label="Tenure (months)", minimum=1, step=1, interactive=True) | |
| MonthlyCharges = gr.Slider(label="Monthly Charges", step=0.05) | |
| TotalCharges = gr.Slider(label="Total Charges", step=0.05) | |
| # Phone Service Usage part | |
| gr.Markdown("**Phone Service Usage**") | |
| with gr.Row(): | |
| PhoneService = gr.Radio(label="Phone Service", choices=["Yes", "No"]) | |
| MultipleLines = gr.Dropdown(label="Multiple Lines", choices=[ | |
| "Yes", "No", "No phone service"]) | |
| # Internet Service Usage part | |
| gr.Markdown("**Internet Service Usage**") | |
| with gr.Row(): | |
| InternetService = gr.Dropdown(label="Internet Service", choices=["DSL", "Fiber optic", "No"]) | |
| OnlineSecurity = gr.Dropdown(label="Online Security", choices=["Yes", "No", "No internet service"]) | |
| OnlineBackup = gr.Dropdown(label="Online Backup", choices=["Yes", "No", "No internet service"]) | |
| DeviceProtection = gr.Dropdown(label="Device Protection", choices=["Yes", "No", "No internet service"]) | |
| TechSupport = gr.Dropdown(label="Tech Support", choices=["Yes", "No", "No internet service"]) | |
| StreamingTV = gr.Dropdown(label="TV Streaming", choices=["Yes", "No", "No internet service"]) | |
| StreamingMovies = gr.Dropdown(label="Movie Streaming", choices=["Yes", "No", "No internet service"]) | |
| # Billing and Payment part | |
| gr.Markdown("**Billing and Payment**") | |
| with gr.Row(): | |
| PaperlessBilling = gr.Radio( | |
| label="Paperless Billing", choices=["Yes", "No"]) | |
| PaymentMethod = gr.Dropdown(label="Payment Method", choices=["Electronic check", "Mailed check", "Bank transfer (automatic)", "Credit card (automatic)"]) | |
| # Output Prediction | |
| output = gr.Text(label="Outcome") | |
| submit_button = gr.Button("Predict") | |
| submit_button.click(fn= predict, | |
| outputs= output, | |
| inputs=[gender, SeniorCitizen, Partner, Dependents, Contract, tenure, MonthlyCharges, TotalCharges, PaymentMethod, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, PaperlessBilling], | |
| ), | |
| # Add the reset and flag buttons | |
| def clear(): | |
| output.value = "" | |
| return None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None | |
| clear_btn = gr.Button("Reset", variant="primary") | |
| clear_btn.click(fn=clear, inputs=None, outputs=output) | |
| demo.launch(inbrowser = True) |