Class swarmauri_standard.vlms.FalVLM.FalVLM
swarmauri_standard.vlms.FalVLM.FalVLM
FalVLM(**data)
Bases: VLMBase
A model for processing images and answering questions using FalAI's vision models. This model allows synchronous and asynchronous requests for image processing and question answering based on an input image and text prompt.
ATTRIBUTE | DESCRIPTION |
---|---|
allowed_models |
List of allowed vision models.
TYPE:
|
api_key |
The API key for authentication.
TYPE:
|
name |
The model name to use for image processing.
TYPE:
|
type |
The type identifier for the model.
TYPE:
|
max_retries |
Maximum number of retries for status polling.
TYPE:
|
retry_delay |
Delay in seconds between retries.
TYPE:
|
Link to API KEY: https://fal.ai/dashboard/keys Link to Allowed Models: https://fal.ai/models?categories=vision
Initialize the FalOCR with API key, HTTP clients, and model name validation.
RAISES | DESCRIPTION |
---|---|
ValueError
|
If the provided name is not in allowed_models. |
Source code in swarmauri_standard/vlms/FalVLM.py
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|
allowed_models
class-attribute
instance-attribute
allowed_models = [
"fal-ai/got-ocr/v2",
"fal-ai/any-llm/vision",
"fal-ai/llavav15-13b",
"fal-ai/llava-next",
"fal-ai/imageutils/nsfw",
"fal-ai/moondream/batched",
"fal-ai/florence-2-large/caption",
"fal-ai/florence-2-large/detailed-caption",
"fal-ai/florence-2-large/more-detailed-caption",
"fal-ai/florence-2-large/region-to-category",
"fal-ai/florence-2-large/ocr",
"fal-ai/sa2va/8b/image",
"fal-ai/sa2va/8b/video",
"fal-ai/sa2va/4b/video",
"fal-ai/sa2va/4b/image",
"fal-ai/mini-cpm",
"fal-ai/moondream-next",
"fal-ai/moondream-next/batch",
]
api_key
instance-attribute
api_key
name
class-attribute
instance-attribute
name = Field(default='fal-ai/got-ocr/v2')
type
class-attribute
instance-attribute
type = 'FalVLM'
max_retries
class-attribute
instance-attribute
max_retries = Field(default=60)
retry_delay
class-attribute
instance-attribute
retry_delay = Field(default=1.0)
model_config
class-attribute
instance-attribute
model_config = ConfigDict(
extra="forbid", arbitrary_types_allowed=True
)
id
class-attribute
instance-attribute
id = Field(default_factory=generate_id)
members
class-attribute
instance-attribute
members = None
owners
class-attribute
instance-attribute
owners = None
host
class-attribute
instance-attribute
host = None
default_logger
class-attribute
default_logger = None
logger
class-attribute
instance-attribute
logger = None
version
class-attribute
instance-attribute
version = '0.1.0'
predict_vision
predict_vision(image_url, prompt, **kwargs)
Process an image and answer a question based on the prompt.
PARAMETER | DESCRIPTION |
---|---|
image_url
|
The URL of the image to process.
TYPE:
|
prompt
|
The question or instruction to apply to the image.
TYPE:
|
**kwargs
|
Additional parameters for the API request.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
str
|
The answer or result of the image processing.
TYPE:
|
Source code in swarmauri_standard/vlms/FalVLM.py
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|
apredict_vision
async
apredict_vision(image_url, prompt, **kwargs)
Asynchronously process an image and answer a question based on the prompt.
PARAMETER | DESCRIPTION |
---|---|
image_url
|
The URL of the image to process.
TYPE:
|
prompt
|
The question or instruction to apply to the image.
TYPE:
|
**kwargs
|
Additional parameters for the API request.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
str
|
The answer or result of the image processing.
TYPE:
|
Source code in swarmauri_standard/vlms/FalVLM.py
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|
batch
batch(image_urls, prompts, **kwargs)
Process a batch of images and answer questions for each image synchronously.
PARAMETER | DESCRIPTION |
---|---|
image_urls
|
A list of image URLs to process.
TYPE:
|
prompts
|
A list of prompts corresponding to each image.
TYPE:
|
**kwargs
|
Additional parameters for the API requests.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
List[str]
|
List[str]: A list of answers or results for each image. |
Source code in swarmauri_standard/vlms/FalVLM.py
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|
abatch
async
abatch(image_urls, prompts, **kwargs)
Asynchronously process a batch of images and answer questions for each image.
PARAMETER | DESCRIPTION |
---|---|
image_urls
|
A list of image URLs to process.
TYPE:
|
prompts
|
A list of prompts corresponding to each image.
TYPE:
|
**kwargs
|
(dict[str, Any]): Additional parameters for the API requests.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
List[str]
|
List[str]: A list of answers or results for each image. |
RAISES | DESCRIPTION |
---|---|
TimeoutError
|
If one or more requests do not complete within the timeout period. |
Source code in swarmauri_standard/vlms/FalVLM.py
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|
get_allowed_models
get_allowed_models()
Query the LLMProvider API endpoint to get the list of allowed models.
RETURNS | DESCRIPTION |
---|---|
List[str]
|
List[str]: The list of allowed models from the API. |
Source code in swarmauri_standard/vlms/FalVLM.py
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|
register_model
classmethod
register_model()
Decorator to register a base model in the unified registry.
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the model class.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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|
register_type
classmethod
register_type(resource_type=None, type_name=None)
Decorator to register a subtype under one or more base models in the unified registry.
PARAMETER | DESCRIPTION |
---|---|
resource_type
|
The base model(s) under which to register the subtype. If None, all direct base classes (except DynamicBase) are used.
TYPE:
|
type_name
|
An optional custom type name for the subtype.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the subtype.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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|
model_validate_toml
classmethod
model_validate_toml(toml_data)
Validate a model from a TOML string.
Source code in swarmauri_base/TomlMixin.py
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|
model_dump_toml
model_dump_toml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a TOML representation of the model.
Source code in swarmauri_base/TomlMixin.py
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model_validate_yaml
classmethod
model_validate_yaml(yaml_data)
Validate a model from a YAML string.
Source code in swarmauri_base/YamlMixin.py
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|
model_dump_yaml
model_dump_yaml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a YAML representation of the model.
Source code in swarmauri_base/YamlMixin.py
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|
model_post_init
model_post_init(logger=None)
Assign a logger instance after model initialization.
Source code in swarmauri_base/LoggerMixin.py
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|
add_allowed_model
add_allowed_model(model)
Add a new model to the list of allowed models.
RAISES | DESCRIPTION |
---|---|
ValueError
|
If the model is already in the allowed models list. |
Source code in swarmauri_base/vlms/VLMBase.py
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|
remove_allowed_model
remove_allowed_model(model)
Remove a model from the list of allowed models.
RAISES | DESCRIPTION |
---|---|
ValueError
|
If the model is not in the allowed models list. |
Source code in swarmauri_base/vlms/VLMBase.py
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|