Embedding Text
- Python SDK
- OpenAI SDK
Python
from obiguard import Obiguard
client = Obiguard(
obiguard_api_key="sk-obg***", # Your Obiguard API key
)
embeddings = client.embeddings.create(
model="textembedding-gecko@003",
input_type="classification",
input="The food was delicious and the waiter...",
# input=["text to embed", "more text to embed"], # if you would like to embed multiple texts
)
OpenAI Python
from openai import OpenAI
from obiguard import OBIGUARD_GATEWAY_URL, createHeaders
client = OpenAI(
api_key='NOT_REQUIRED',
base_url=OBIGUARD_GATEWAY_URL,
default_headers=createHeaders(
provider="openai",
obiguard_api_key="sk-obg******", # Your Obiguard API key
)
)
embeddings = client.embeddings.create(
model="textembedding-gecko@003",
input_type="classification",
input="The food was delicious and the waiter...",
# input=["text to embed", "more text to embed"], # if you would like to embed multiple texts
)
Embeddings Images
- Python SDK
- OpenAI SDK
- cURL
Python
from obiguard import Obiguard
client = Obiguard(
obiguard_api_key="sk-obg***", # Your Obiguard API key
)
embeddings = client.embeddings.create(
model="multimodalembedding@001",
input=[
{
"text": "this is the caption of the image",
"image": {
"base64": "UklGRkacAABXRUJQVlA4IDqcAACQggKdASqpAn8B.....",
# "url": "gcs://..." # if you want to use a url
}
}
]
)
OpenAI Python
from openai import OpenAI
from obiguard import OBIGUARD_GATEWAY_URL, createHeaders
client = OpenAI(
api_key='NOT_REQUIRED',
base_url=OBIGUARD_GATEWAY_URL,
default_headers=createHeaders(
provider="openai",
obiguard_api_key="sk-obg******", # Your Obiguard API key
)
)
embeddings = client.embeddings.create(
model="multimodalembedding@001",
input=[
{
"text": "this is the caption of the image",
"image": {
"base64": "UklGRkacAABXRUJQVlA4IDqcAACQggKdASqpAn8B.....",
# "url": "gcs://..." # if you want to use a url
}
}
]
)
cURL
curl --location 'https://gateway.obiguard.ai/v1/embeddings' \
--header 'Content-Type: application/json' \
--header 'x-obiguard-api-key: $OBIGUARD_API_KEY' \
--data-raw '{
"model": "multimodalembedding@001",
"input": [
{
"text": "this is the caption of the image",
"image": {
"base64": "UklGRkacAABXRUJQVlA4IDqcAACQggKdASqpAn8B....."
# "url": "gcs://..." # if you want to use a url
}
}
]
}'
Embeddings Videos
- Python SDK
- OpenAI SDK
- cURL
Python
from obiguard import Obiguard
client = Obiguard(
obiguard_api_key="sk-obg***", # Your Obiguard API key
)
embeddings = client.embeddings.create(
model="multimodalembedding@001",
input=[
{
"text": "this is the caption of the video",
"video": {
"base64": "UklGRkacAABXRUJQVlA4IDqcAACQggKdASqpAn8B.....",
"start_offset": 0,
"end_offset": 10,
"interval": 5,
# "url": "gcs://..." # if you want to use a url
}
}
]
)
OpenAI Python
from openai import OpenAI
from obiguard import OBIGUARD_GATEWAY_URL, createHeaders
client = OpenAI(
api_key='NOT_REQUIRED',
base_url=OBIGUARD_GATEWAY_URL,
default_headers=createHeaders(
provider="openai",
obiguard_api_key="sk-obg******", # Your Obiguard API key
)
)
embeddings = client.embeddings.create(
model="multimodalembedding@001",
input=[
{
"text": "this is the caption of the video",
"video": {
"base64": "UklGRkacAABXRUJQVlA4IDqcAACQggKdASqpAn8B.....",
"start_offset": 0,
"end_offset": 10,
"interval": 5,
# "url": "gcs://..." # if you want to use a url
}
}
]
)
cURL
curl --location 'https://gateway.obiguard.ai/v1/embeddings' \
--header 'Content-Type: application/json' \
--header 'x-obiguard-api-key: $OBIGUARD_API_KEY' \
--data-raw '{
"model": "multimodalembedding@001",
"input": [
{
"text": "this is the caption of the video",
"video": {
"base64": "UklGRkacAABXRUJQVlA4IDqcAACQggKdASqpAn8B.....",
"start_offset": 0,
"end_offset": 10,
"interval": 5
# "url": "gcs://..." # if you want to use a url
}
}
]
}'