[Python] "error": "Prediction failed: idf vector is not fitted" with Postman and CURL command

from sklearn.pipeline import make_pipeline
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
import joblib

#Make a pipeline with TFIDF vectorizier and logistic regresssion model

pipeline = make_pipeline(
(TfidfVectorizer()),
LogisticRegression())

#Train the model with pipeline set above

pipeline.fit(train_df['cleaned_sentence'], train_df['category'])


# Save fully fitted pipeline (includes vectorizer + model)
joblib.dump(pipeline, "logistic_model.pkl")
print("Saved: logistic_model.pkl")


after saving the model, created docker image and deployed requirements, main.py and dockerfile to GCP

# build docker and push to gcp
gcloud builds submit --tag gcr.io/finalprojectwk5/sentiment-classifier

# gcp deploy from google cloud shell sdk
gcloud run deploy sentiment-classifier --image=gcr.io/finalprojectwk5/sentiment-
classifier --platform=managed --region=us-central1 --allow-unauthenticated --
memory=1024Mi

# Curl command with Postman
curl -X POST -H "Content-Type: application/json" -d "{\"text\": \"prefix great service
confusion read crustal clear crass filthy nonsensical see coming\"}" https://sentiment-
classifier-763594834115.us-central1.run.app/predict


I am getting erorr "Prediction failed: idf vector is not fitted" after running the postman command

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