我想用Python使用LSTM技术制作一个程序，可以预测下一个结果，或者说从两个颜色中挑选一个颜色的概率，程序应该使用AI和ML库，来读取最后40个结果的模式，从而预测下一个结果。
那么我就做了如下的一个方案。

from keras.models import Sequential
from keras.layers import LSTM, Dense
import numpy as np

def predict_next_color_lstm(outcomes):
    if len(outcomes) < 40:
        return "Error: Number of outcomes provided is less than 40."

    # Convert string input to integer sequence
    seq = [0 if x == 'r' else 1 for x in outcomes]

    # Create rolling window of 40 outcomes
    X = []
    y = []
    for i in range(len(seq) - 40):
        X.append(seq[i:i + 40])
        y.append(seq[i + 40])
    X = np.array(X)
    y = np.array(y)

    # Reshape X to fit LSTM input shape
    X = np.reshape(X, (X.shape[0], X.shape[1], 1))

    # Create LSTM model
    model = Sequential()
    model.add(LSTM(50, input_shape=(40, 1)))
    model.add(Dense(1, activation='sigmoid'))

    # Compile the model
    model.compile(loss='binary_crossentropy', optimizer='adam')

    # Train the model
    model.fit(X, y, epochs=50, batch_size=32)

    # Predict the next outcome
    last_40 = seq[-40:]
    pred = model.predict(np.array([last_40]))
    return 'r' if pred < 0.5 else 'g'

def get_input():
    # ask user to enter ball color sequence of length 40
    ball_seq = input("Enter the ball color sequence of length 40 (e.g. rrggrrgrrgggrgrgrrggggrgrgrrgrgggrrgggg): ")
    return ball_seq

# _main_
ball_seq = get_input()
print("Prediction : ", predict_next_color_lstm(ball_seq))

但是我在执行它时经常得到以下错误：
C：\Users\Ashish\miniconda3\python.exe C：\Users\Ashish\Desktop\pyt_pract\test_prob1.py输入长度为40的球色序列（e.例如：rgggrrgrgrggrrgrrgrgrgrggggrrrrggrrggrgrg Traceback（最近一次通话）：文件“C：\Users\Ashish\Desktop\pyt_pract\test_prob1.py”，第50行，打印（“预测：“，predict_next_color_lstm（ball_seq））文件“C：\Users\Ashish\Desktop\pyt_pract\test_prob1.在predict_next_color_lstm中的第23行，“py”，X = np。整形（X，（X.shape[0]，X.shape[1]，1））IndexError：元组索引超出范围