Python ValueError:X有1个功能，但DecisionTreeClassifier需要21459个功能作为输入

当我运行下面的代码时，我得到了错误

import joblib
from sklearn.preprocessing import OrdinalEncoder
import pandas as pd

loaded_model = joblib.load("finalized_model.sav")

enc1 = OrdinalEncoder()
text = "testString"
df = pd.DataFrame({text})
enc1.fit(df)
df = enc1.transform(df)
prediction = loaded_model.predict(df)
print(enc1.inverse_transform(prediction))

创建经过训练的模型的代码：

from sklearn.tree import DecisionTreeClassifier
import pandas as pd
from joblib import parallel_backend
from sklearn.preprocessing import OrdinalEncoder
import joblib
import numpy as np
with parallel_backend('threading', n_jobs=1):
    enc1 = OrdinalEncoder()
    enc2 = OrdinalEncoder()
    firstLine = True
    model = DecisionTreeClassifier()
    df = pd.read_csv("Emotion_final.csv")
    X = np.array(df["Text"]).reshape(1, -1)
    y = np.array(df["Emotion"]).reshape(1, -1)
    X = X.reshape(1, -1)
    enc1.fit(X)
    enc2.fit(y)
    print(enc1.transform(X).shape)
    model.fit(enc1.transform(X), enc2.transform(y))
    filename = 'finalized_model.sav'
    joblib.dump(model, filename)

错误：

ValueError: X has 1 features, but DecisionTreeClassifier is expecting 21459 features as input.

指向数据集的链接：

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具体在哪里？请用完整的错误跟踪更新您的问题。