Gradio 部署后出现输出错误

Question

我正在使用 Gradio 部署机器学习模型，在 Gradio 上部署后，我在输入和输出显示错误后收到错误

此输出的代码是

import gradio as gr
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import StandardScaler, MinMaxScaler

# Sample data (replace this with your actual data)
X_train = np.array([[230.1, 37.8, 69.2],
                    [44.5, 39.3, 45.1],
                    [17.2, 45.9, 69.3],
                    [151.5, 41.3, 58.5],
                    [180.8, 10.8, 58.4]])
y_train = np.array([22.1, 10.4, 9.3, 18.5, 12.9])

# Initialize and train your Linear Regression model
scaler = MinMaxScaler()
scaler.fit(X_train) 
X_train_scale = scaler.transform(X_train)  

lm = LinearRegression()
lm.fit(X_train_scale, y_train)

# Define prediction function
def predict_sales(tv, radio, newspaper):
    # Scale the input features
    input_features = scaler.transform([[tv, radio, newspaper]])
    # Predict sales
    prediction = lm.predict(input_features)
    return prediction[0]

# Create Gradio Interface
tv_input = gr.Number(label="TV")
radio_input = gr.Number(label="Radio")
newspaper_input = gr.Number(label="Newspaper")
output_text = gr.Textbox(label="Predicted Sales")

gr.Interface(fn=predict_sales, 
             inputs=[tv_input, radio_input, newspaper_input], 
             outputs=output_text,
             title="Sales Prediction",
             description="Enter advertising expenses to predict sales",
            debug=True,enable_queue=True).launch()

]

我该如何解决这个错误？

Answer 1

输入和输出已弃用。请改用组件。