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token_confidence_sample.py
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70 lines (58 loc) · 2.42 KB
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# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# [START documentai_toolbox_token_confidence]
from typing import Optional
from google.cloud.documentai_toolbox import document
# TODO(developer): Uncomment these variables before running the sample.
# gcs_uri = "gs://bucket/path/to/folder/document.json"
def token_confidence_sample(
gcs_uri: Optional[str] = None,
document_path: Optional[str] = None,
) -> None:
"""Demonstrates how to access token-level confidence scores.
Args:
gcs_uri (Optional[str]):
URI to a Document JSON file in GCS.
document_path (Optional[str]):
Path to a local Document JSON file.
"""
if gcs_uri:
# Load a single Document from a Google Cloud Storage URI
wrapped_document = document.Document.from_gcs_uri(gcs_uri=gcs_uri)
elif document_path:
# Load from local `Document` JSON file
wrapped_document = document.Document.from_document_path(document_path)
else:
raise ValueError("No document source provided.")
# Display token confidence for the first page
if wrapped_document.pages:
page = wrapped_document.pages[0]
print(f"Page {page.page_number} Tokens:")
for i, token in enumerate(page.tokens[:10]): # Limiting to first 10 tokens for brevity
print(f"Token {i}: '{token.text.strip()}'")
print(f" Confidence: {token.confidence:.4f}")
print()
# [END documentai_toolbox_token_confidence]
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument("--gcs_uri", help="GCS URI to Document JSON.")
group.add_argument("--document_path", help="Path to local Document JSON file.")
args = parser.parse_args()
token_confidence_sample(
gcs_uri=args.gcs_uri,
document_path=args.document_path,
)