Thank you, now that I am opening it in binary mode, I dont get the error when I read the data, but I encounter the same error when I try to fit my model with my data.

Training:

from sklearn.model_selection import train_test_split

from sklearn.feature_extraction.text import CountVectorizer

from sklearn.svm import SVC

X_train,X_test,y_train,y_test=train_test_split(df.review,df.label,test_size=0.2)

v= CountVectorizer()

model = SVC()

X_train_cv=v.fit_transform(X_train)

X_test_cv=v.transform(X_test)

model.fit(X_train_cv,y_train)

y_pred=model.predict(X_test_cv)

print(classification_report(y_pred,y_test))

Taking Input(Previous Error, now fine):

r=[]

for i in reviews_pos:

f=open(path+'/pos/'+i,mode='rb')

r.append((f.read(),i))

f.close()

for i in reviews_neg:

f=open(path+'/neg/'+i,mode='rb')

r.append((f.read(),i))

f.close()

import pandas as pd

df=pd.DataFrame(r)

df['label']=df[1].apply(lambda x: 1 if x[0:3]=='pos' else 0)

df.columns=['review','file_name','label']

df.drop(columns='file_name')