B046090010

import os
from google.cloud import storage
# Set project and service account
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="service_account_key.json"
os.environ["GCP_PROJECT"]="PROJECT_NAME"

# init GCS
storage_client = storage.Client()

# the name for the bucket

B046090010

<script src="https://unpkg.com/@tensorflow/tfjs"></script>
<script src="https://unpkg.com/@tensorflow/tfjs-automl"></script>
<p><input type="file"  accept="image/*" name="image" id="file"  onchange="loadFile(event)" style="display: none;"></p>
<p><label for="file" style="cursor: pointer;">Upload Image</label></p>
<p><img id="output" width="200" /></p>
<p><pre id = "result"></pre></p>
<script>

async function run() {
  const model = await tf.automl.loadImageClassification('api_list/model.json');

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# install package & env
! pip install simpletransformers
! pip install torchvision

# setting parameter of model
from simpletransformers.classification import ClassificationModel
train_args={
    'num_train_epochs': 1,
    'train_batch_size': 16,
    'eval_batch_size': 64,

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SELECT DISTINCT *
FROM ML.PREDICT(MODEL `cloud-training-prod-bucket.movies.movie_recommender`,
    (
        WITH 
        
        allUsers AS (
        SELECT DISTINCT userId
        FROM movies.movielens_ratings ),

        oneMovie AS(