import gradio as gr

def prediction_percentage():
    predictions = RFC.predict(X_test)
    rejected = sum(predictions)
    accepted = len(predictions) - sum(predictions)
    return {"Rejected": float(rejected)/len(predictions), "Accepted": float(accepted)/len(predictions)}

def prediction_result():
    predictions = RFC.predict(X_test)
    rejected = sum(predictions)
    accepted = len(predictions) - sum(predictions)
    return rejected,accepted
    
    
label = gr.Label()

predict_btn = gr.Button(value="Predict")
with gr.Blocks() as demo:
    with gr.Column():
        label = gr.Label()
        #text = gr.Text()
        #plot = gr.Plot()
        predict_btn = gr.Button(value="Percentage")
        interpret_btn = gr.Button(value="Predict")

        with gr.Row():
            predict_btn.click(
                prediction_percentage,
                inputs=[],
                outputs=[label],
            )

        with gr.Row():
            interpret_btn.click(
                prediction_result,
                inputs=[],
                outputs=[gr.outputs.Textbox(label="Rejected Transactions"),gr.outputs.Textbox(label="Accepted Transactions")],
            )

demo.launch()

interface = gr.Interface(prediction_result, inputs=[]
                         ,outputs=[gr.outputs.Textbox(label="Rejected Transactions"),gr.outputs.Textbox(label="Accepted Transactions")])
interface.launch()