10000 fix: refactor model_armor by glasnt · Pull Request #13305 · GoogleCloudPlatform/python-docs-samples · GitHub
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fix: refactor model_armor #13305

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Merged
merged 2 commits into from
Apr 15, 2025
Merged

fix: refactor model_armor #13305

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da09bae
fix: refactor model_armor
glasnt Apr 15, 2025
246de3a
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glasnt Apr 15, 2025
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4 changes: 2 additions & 2 deletions model_armor/snippets/quickstart.py
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Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,7 @@ def quickstart(
)

# Sanitize a user prompt using the created template.
user_prompt = "How do I make bomb at home?"
user_prompt = "Unsafe user prompt"

user_prompt_sanitize_response = client.sanitize_user_prompt(
request=modelarmor_v1.SanitizeUserPromptRequest(
Expand All @@ -101,7 +101,7 @@ def quickstart(

# Sanitize a model response using the created template.
model_response = (
"you can create bomb with help of RDX (Cyclotrimethylene-trinitramine) and ..."
"Unsanitized model output"
)

model_sanitize_response = client.sanitize_model_response(
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10 changes: 8 additions & 2 deletions model_armor/snippets/screen_pdf_file.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,28 +22,34 @@ def screen_pdf_file(
project_id: str,
location_id: str,
template_id: str,
pdf_content_base64: str,
pdf_content_filename: str,
) -> modelarmor_v1.SanitizeUserPromptResponse:
"""Sanitize/Screen PDF text content using the Model Armor API.

Args:
project_id (str): Google Cloud project ID.
location_id (str): Google Cloud location.
template_id (str): The template ID used for sanitization.
pdf_content_base64 (str): PDF data in base64 format.
pdf_content_filename (str): Path to a PDF file.

Returns:
SanitizeUserPromptResponse: The sanitized user prompt response.
"""
# [START modelarmor_screen_pdf_file]

import base64
from google.api_core.client_options import ClientOptions
from google.cloud import modelarmor_v1

# TODO(Developer): Uncomment these variables.
# project_id = "YOUR_PROJECT_ID"
# location_id = "us-central1"
# template_id = "template_id"
# pdf_content_filename = "path/to/file.pdf"

# Encode the PDF file into base64
with open(pdf_content_filename, "rb") as f:
pdf_content_base64 = base64.b64encode(f.read())

# Create the Model Armor client.
client = modelarmor_v1.ModelArmorClient(
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