Rawiwan1912 commited on
Commit
db19c65
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1 Parent(s): cab77c5

Update app.py

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Files changed (1) hide show
  1. app.py +36 -5
app.py CHANGED
@@ -1,10 +1,41 @@
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  import gradio as gr
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- # from modules.churn_analysis import churn_interface
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- # from modules.translator import translator_interface
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- from modules.translator import text_translator_ui
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  with gr.Blocks() as app:
 
 
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  with gr.Tab("Text Translator"):
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- text_translator_ui()
 
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- app.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import gradio as gr
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+ from modules.churn_analysis import predict
 
 
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+ # Existing Tabs with Gradio Blocks
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  with gr.Blocks() as app:
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+
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+ # Add the Text Translator Tab
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  with gr.Tab("Text Translator"):
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+ # Code for your text translator here (from previous code)
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+ pass
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+ # Add the Churn Analysis Tab
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+ with gr.Tab("Churn Analysis"):
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+ gr.Markdown("Customer Churn Prediction")
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+
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+ # Define your inputs for churn prediction
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+ with gr.Row():
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+ input_interface = [
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+ gr.Radio(['Yes', 'No'], label="Are you a Senior Citizen?"),
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+ gr.Radio(['Yes', 'No'], label="Do you have a Partner?"),
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+ gr.Radio(['No', 'Yes'], label="Do you have Dependents?"),
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+ gr.Slider(minimum=1, maximum=73, step=1, label="Tenure (in months)"),
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+ gr.Radio(['DSL', 'Fiber optic', 'No Internet'], label="Internet Service"),
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+ gr.Radio(['No', 'Yes'], label="Do you have Online Security?"),
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+ gr.Radio(['No', 'Yes'], label="Do you have Online Backup?"),
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+ gr.Radio(['No', 'Yes'], label="Do you have Device Protection?"),
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+ gr.Radio(['No', 'Yes'], label="Do you have Tech Support?"),
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+ gr.Radio(['No', 'Yes'], label="Do you have Streaming TV?"),
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+ gr.Radio(['No', 'Yes'], label="Do you have Streaming Movies?"),
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+ gr.Radio(['Month-to-month', 'One year', 'Two year'], label="Contract Type"),
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+ gr.Radio(['Yes', 'No'], label="Paperless Billing?"),
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+ gr.Radio(['Electronic check', 'Mailed check', 'Bank transfer (automatic)', 'Credit card (automatic)'], label="Payment Method"),
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+ gr.Slider(minimum=18.40, maximum=118.65, label="Monthly Charges")
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+ ]
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+
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+ output_interface = gr.Label(label="Churn Prediction")
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+
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+ predict_btn = gr.Button('Predict Churn')
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+ predict_btn.click(fn=predict, inputs=input_interface, outputs=output_interface)
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+
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+ app.launch(share=True)