DenseFeed / src /baml_client /parser.py
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feat: ZeroGPU backend for Hugging Face Spaces deployment (#4)
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# ----------------------------------------------------------------------------
#
# Welcome to Baml! To use this generated code, please run the following:
#
# $ pip install baml
#
# ----------------------------------------------------------------------------
# This file was generated by BAML: please do not edit it. Instead, edit the
# BAML files and re-generate this code using: baml-cli generate
# baml-cli is available with the baml package.
import typing
import typing_extensions
from . import stream_types, types
from .runtime import DoNotUseDirectlyCallManager, BamlCallOptions
class LlmResponseParser:
__options: DoNotUseDirectlyCallManager
def __init__(self, options: DoNotUseDirectlyCallManager):
self.__options = options
def FilterItems(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> typing.List["types.Verdict"]:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="FilterItems", llm_response=llm_response, mode="request")
return typing.cast(typing.List["types.Verdict"], __result__)
def FilterScoreItems(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> typing.List["types.RankedItem"]:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="FilterScoreItems", llm_response=llm_response, mode="request")
return typing.cast(typing.List["types.RankedItem"], __result__)
def GenerateOutline(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> types.EpisodeOutline:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="GenerateOutline", llm_response=llm_response, mode="request")
return typing.cast(types.EpisodeOutline, __result__)
def GenerateScriptSegment(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> typing.List["types.ScriptLine"]:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="GenerateScriptSegment", llm_response=llm_response, mode="request")
return typing.cast(typing.List["types.ScriptLine"], __result__)
def ScoreItems(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> typing.List["types.ScoredItem"]:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="ScoreItems", llm_response=llm_response, mode="request")
return typing.cast(typing.List["types.ScoredItem"], __result__)
class LlmStreamParser:
__options: DoNotUseDirectlyCallManager
def __init__(self, options: DoNotUseDirectlyCallManager):
self.__options = options
def FilterItems(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> typing.List["stream_types.Verdict"]:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="FilterItems", llm_response=llm_response, mode="stream")
return typing.cast(typing.List["stream_types.Verdict"], __result__)
def FilterScoreItems(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> typing.List["stream_types.RankedItem"]:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="FilterScoreItems", llm_response=llm_response, mode="stream")
return typing.cast(typing.List["stream_types.RankedItem"], __result__)
def GenerateOutline(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> stream_types.EpisodeOutline:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="GenerateOutline", llm_response=llm_response, mode="stream")
return typing.cast(stream_types.EpisodeOutline, __result__)
def GenerateScriptSegment(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> typing.List["stream_types.ScriptLine"]:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="GenerateScriptSegment", llm_response=llm_response, mode="stream")
return typing.cast(typing.List["stream_types.ScriptLine"], __result__)
def ScoreItems(
self, llm_response: str, baml_options: BamlCallOptions = {},
) -> typing.List["stream_types.ScoredItem"]:
__result__ = self.__options.merge_options(baml_options).parse_response(function_name="ScoreItems", llm_response=llm_response, mode="stream")
return typing.cast(typing.List["stream_types.ScoredItem"], __result__)