sample update

Author: Guiners

genai/batch-prediction/batchpredict-embeddings-with-gcs.js

@@ -18,7 +18,8 @@
 const {GoogleGenAI} = require('@google/genai');
 
 const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
-const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global';
+const GOOGLE_CLOUD_LOCATION =
+  process.env.GOOGLE_CLOUD_LOCATION || 'us-central1';
 const OUTPUT_URI = 'gs://your-bucket/your-prefix';
 
 async function runBatchPredictionJob(
@@ -35,7 +36,7 @@ async function runBatchPredictionJob(
     },
   });
 
-  // See the documentation: https://googleapis.github.io/python-genai/genai.html#genai.batches.Batches.create
+  // See the documentation: https://googleapis.github.io/js-genai/release_docs/classes/batches.Batches.html
   let job = await client.batches.create({
     model: 'text-embedding-005',
     // Source link: https://storage.cloud.google.com/cloud-samples-data/batch/prompt_for_batch_gemini_predict.jsonl

genai/batch-prediction/batchpredict-with-bq.js

@@ -18,9 +18,9 @@
 const {GoogleGenAI} = require('@google/genai');
 
 const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
-const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global';
-// const OUTPUT_URI = 'bq://your-project.your_dataset.your_table';
-const OUTPUT_URI = 'bq://cloud-ai-devrel-softserve.gen_ai_batch_prediction.tes'
+const GOOGLE_CLOUD_LOCATION =
+  process.env.GOOGLE_CLOUD_LOCATION || 'us-central1';
+const OUTPUT_URI = 'bq://your-project.your_dataset.your_table';
 
 async function runBatchPredictionJob(
   outputUri = OUTPUT_URI,
@@ -36,7 +36,7 @@ async function runBatchPredictionJob(
     },
   });
 
-  // See the documentation: https://googleapis.github.io/python-genai/genai.html#genai.batches.Batches.create
+  // See the documentation: https://googleapis.github.io/js-genai/release_docs/classes/batches.Batches.html
   let job = await client.batches.create({
     // To use a tuned model, set the model param to your tuned model using the following format:
     // model="projects/{PROJECT_ID}/locations/{LOCATION}/models/{MODEL_ID}"

genai/batch-prediction/batchpredict-with-gcs.js

@@ -18,7 +18,8 @@
 const {GoogleGenAI} = require('@google/genai');
 
 const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
-const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global';
+const GOOGLE_CLOUD_LOCATION =
+  process.env.GOOGLE_CLOUD_LOCATION || 'us-central1';
 const OUTPUT_URI = 'gs://your-bucket/your-prefix';
 
 async function runBatchPredictionJob(
@@ -35,7 +36,7 @@ async function runBatchPredictionJob(
     },
   });
 
-  // See the documentation: https://googleapis.github.io/python-genai/genai.html#genai.batches.Batches.create
+  // See the documentation: https://googleapis.github.io/js-genai/release_docs/classes/batches.Batches.html
   let job = await client.batches.create({
     // To use a tuned model, set the model param to your tuned model using the following format:
     // model="projects/{PROJECT_ID}/locations/{LOCATION}/models/{MODEL_ID}"