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import gradio as gr
from churn_analysis import predict
from translator import text_translator_ui
from sentiment import create_sentiment_tab
with gr.Blocks() as app:
with gr.Tab("Text Translator"):
text_translator_ui()
pass
with gr.Tab("Sentiment Analysis"):
sentiment_app = create_sentiment_tab()
sentiment_app.launch
# Add the Churn Analysis Tab
with gr.Tab("Churn Analysis"):
gr.Markdown("Customer Churn Prediction")
# Define your inputs for churn prediction
with gr.Row():
gr.Markdown("This app predicts likelihood of a customer to leave or stay with the company")
with gr.Row():
with gr.Column():
input_interface_column_1 = [
gr.components.Radio(['Yes', 'No'], label="Are you a Seniorcitizen?"),
gr.components.Radio(['Yes', 'No'], label='Do you have Partner?'),
gr.components.Radio(['No', 'Yes'], label='Do you have any Dependents?'),
gr.components.Slider(label='Enter lenghth of Tenure in Months', minimum=1, maximum=73, step=1),
gr.components.Radio(['DSL', 'Fiber optic', 'No Internet'], label='What is your Internet Service?'),
gr.components.Radio(['No', 'Yes'], label='Do you have Online Security?'),
gr.components.Radio(['No', 'Yes'], label='Do you have Online Backup?'),
gr.components.Radio(['No', 'Yes'], label='Do you have Device Protection?')
]
with gr.Column():
input_interface_column_2 = [
gr.components.Radio(['No', 'Yes'], label='Do you have Tech Support?'),
gr.components.Radio(['No', 'Yes'], label='Do you have Streaming TV?'),
gr.components.Radio(['No', 'Yes'], label='Do you have Streaming Movies?'),
gr.components.Radio(['Month-to-month', 'One year', 'Two year'], label='What is your Contract Type?'),
gr.components.Radio(['Yes', 'No'], label='Do you prefer Paperless Billing?'),
gr.components.Radio(['Electronic check', 'Mailed check', 'Bank transfer (automatic)', 'Credit card (automatic)'], label='Which PaymentMethod do you prefer?'),
gr.components.Slider(label="Enter monthly charges", minimum=18.40, maximum=118.65)
]
with gr.Row():
input_interface.extend(input_interface_column_1)
input_interface.extend(input_interface_column_2)
with gr.Row():
predict_btn = gr.Button('Predict')
output_interface = gr.Label(label="churn")
with gr.Accordion("Open for information on inputs", open=False):
gr.Markdown("""This app receives the following as inputs and processes them to return the prediction on whether a customer, will churn or not.
- SeniorCitizen: Whether a customer is a senior citizen or not
- Partner: Whether the customer has a partner or not (Yes, No)
- Dependents: Whether the customer has dependents or not (Yes, No)
- Tenure: Number of months the customer has stayed with the company
- InternetService: Customer's internet service provider (DSL, Fiber Optic, No)
- OnlineSecurity: Whether the customer has online security or not (Yes, No, No Internet)
- OnlineBackup: Whether the customer has online backup or not (Yes, No, No Internet)
- DeviceProtection: Whether the customer has device protection or not (Yes, No, No internet service)
- TechSupport: Whether the customer has tech support or not (Yes, No, No internet)
- StreamingTV: Whether the customer has streaming TV or not (Yes, No, No internet service)
- StreamingMovies: Whether the customer has streaming movies or not (Yes, No, No Internet service)
- Contract: The contract term of the customer (Month-to-Month, One year, Two year)
- PaperlessBilling: Whether the customer has paperless billing or not (Yes, No)
- Payment Method: The customer's payment method (Electronic check, mailed check, Bank transfer(automatic), Credit card(automatic))
- MonthlyCharges: The amount charged to the customer monthly
""")
predict_btn.click(fn=predict, inputs=input_interface, outputs=output_interface)
app.launch(share=True) |