Friday, May 29, 2026

Solusi Use Machine Learning APIs on Google Cloud: Challenge Lab

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Pada Kesempatan ini kita bahas solusi nya untuk lab Use Machine Learning APIs on Google Cloud: Challenge Lab.

Edit file analyze-images-v2.py tambahkan script berikut :

misal case nya pada language / locale japan “ja” bisa sesuaikan misal dengan negara lain sesuai soal

# TBD: Create a Vision API image object called image_object
        # Ref: https://googleapis.dev/python/vision/latest/gapic/v1/types.html#google.cloud.vision_v1.types.Image
        from google.cloud import vision_v1
        import io
        client=vision.ImageAnnotatorClient()
        
        # TBD: Detect text in the image and save the response data into an object called response
        # Ref: https://googleapis.dev/python/vision/latest/gapic/v1/api.html#google.cloud.vision_v1.ImageAnnotatorClient.document_text_detection
        image = vision_v1.types.Image(content=file_content)
        response = client.text_detection(image=image)

 # TBD: Save the description as the translated text into target_language eg. 'en', 'fe', and 'ja' according to the lab manual .
        if locale == 'ja':
            translated_text = desc
        else:
            # TBD: According to the target language pass the description data to the translation API
            # ref: https://googleapis.dev/python/translation/latest/client.html#google.cloud.translate_v2.client.Client.translate
            # Set the target_language locale to according to the lab activity)
            from google.cloud import translate_v2 as translate

            translation = translate_client.translate(text_data, target_language='ja')

            translated_text = translation['translatedText']
        print(translated_text)

Setelah itu bisa running script berikut dari cloudshell sesuaikan dengan project dan bucket

python analyze-images-v2.py qwiklabs-gcp-03-175d8e47fa2c qwiklabs-gcp-03-175d8e47fa2

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