o i*-@sddlZddlmZmZddlmZddlmZddlm Z ddl m Z m Z dd l mZdd lmZdd lmZdd lmZeejd ZGdddZGdddZdS)N)AsyncClientWrapperSyncClientWrapper)RequestOptions)ReadV1RequestParams)ReadV1Response)AsyncRawTextClient RawTextClient) TextAnalyzeRequestCallbackMethod)"TextAnalyzeRequestCustomIntentMode)!TextAnalyzeRequestCustomTopicMode)TextAnalyzeRequestSummarize.c@eZdZdefddZedefddZdddddddddddddd d ed e j e d e j e d e j e d e j ede j e je e je fde j e de j e je e je fde j ede j e de j e je e je fde j ede j e de j edefddZdS) TextClientclient_wrappercCt|d|_dSN)r)r _raw_clientselfrrP/home/ubuntu/.local/lib/python3.10/site-packages/deepgram/read/v1/text/client.py__init__zTextClient.__init__returncC|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- RawTextClient rrrrrwith_raw_response zTextClient.with_raw_responseN callbackcallback_method sentiment summarizetagtopics custom_topiccustom_topic_modeintents custom_intentcustom_intent_modelanguagerequest_optionsrequestr"r#r$r%r&r'r(r)r*r+r,r-r.cCs.|jj||||||||| | | | | |d}|jS)a Analyze text content using Deepgrams text analysis API Parameters ---------- request : ReadV1RequestParams callback : typing.Optional[str] URL to which we'll make the callback request callback_method : typing.Optional[TextAnalyzeRequestCallbackMethod] HTTP method by which the callback request will be made sentiment : typing.Optional[bool] Recognizes the sentiment throughout a transcript or text summarize : typing.Optional[TextAnalyzeRequestSummarize] Summarize content. For Listen API, supports string version option. For Read API, accepts boolean only. tag : typing.Optional[typing.Union[str, typing.Sequence[str]]] Label your requests for the purpose of identification during usage reporting topics : typing.Optional[bool] Detect topics throughout a transcript or text custom_topic : typing.Optional[typing.Union[str, typing.Sequence[str]]] Custom topics you want the model to detect within your input audio or text if present Submit up to `100`. custom_topic_mode : typing.Optional[TextAnalyzeRequestCustomTopicMode] Sets how the model will interpret strings submitted to the `custom_topic` param. When `strict`, the model will only return topics submitted using the `custom_topic` param. When `extended`, the model will return its own detected topics in addition to those submitted using the `custom_topic` param intents : typing.Optional[bool] Recognizes speaker intent throughout a transcript or text custom_intent : typing.Optional[typing.Union[str, typing.Sequence[str]]] Custom intents you want the model to detect within your input audio if present custom_intent_mode : typing.Optional[TextAnalyzeRequestCustomIntentMode] Sets how the model will interpret intents submitted to the `custom_intent` param. When `strict`, the model will only return intents submitted using the `custom_intent` param. When `extended`, the model will return its own detected intents in the `custom_intent` param. language : typing.Optional[str] The [BCP-47 language tag](https://tools.ietf.org/html/bcp47) that hints at the primary spoken language. Depending on the Model and API endpoint you choose only certain languages are available request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ReadV1Response Successful text analysis Examples -------- from deepgram import DeepgramClient client = DeepgramClient( api_key="YOUR_API_KEY", ) client.read.v1.text.analyze( callback="callback", callback_method="POST", sentiment=True, summarize="v2", tag="tag", topics=True, custom_topic="custom_topic", custom_topic_mode="extended", intents=True, custom_intent="custom_intent", custom_intent_mode="extended", language="language", request={"url": "url"}, ) r/r"r#r$r%r&r'r(r)r*r+r,r-r.ranalyzedatarr/r"r#r$r%r&r'r(r)r*r+r,r-r. _responserrrr2"s"\zTextClient.analyze)__name__ __module__ __qualname__rrpropertyr rrtypingOptionalstrr boolrUnionSequencer r rrr2rrrrr`     rc@r)AsyncTextClientrcCrr)r rrrrrrrzAsyncTextClient.__init__rcCr)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- AsyncRawTextClient rrrrrrr z!AsyncTextClient.with_raw_responseNr!r/r"r#r$r%r&r'r(r)r*r+r,r-r.cs6|jj||||||||| | | | | |dIdH}|jS)ad Analyze text content using Deepgrams text analysis API Parameters ---------- request : ReadV1RequestParams callback : typing.Optional[str] URL to which we'll make the callback request callback_method : typing.Optional[TextAnalyzeRequestCallbackMethod] HTTP method by which the callback request will be made sentiment : typing.Optional[bool] Recognizes the sentiment throughout a transcript or text summarize : typing.Optional[TextAnalyzeRequestSummarize] Summarize content. For Listen API, supports string version option. For Read API, accepts boolean only. tag : typing.Optional[typing.Union[str, typing.Sequence[str]]] Label your requests for the purpose of identification during usage reporting topics : typing.Optional[bool] Detect topics throughout a transcript or text custom_topic : typing.Optional[typing.Union[str, typing.Sequence[str]]] Custom topics you want the model to detect within your input audio or text if present Submit up to `100`. custom_topic_mode : typing.Optional[TextAnalyzeRequestCustomTopicMode] Sets how the model will interpret strings submitted to the `custom_topic` param. When `strict`, the model will only return topics submitted using the `custom_topic` param. When `extended`, the model will return its own detected topics in addition to those submitted using the `custom_topic` param intents : typing.Optional[bool] Recognizes speaker intent throughout a transcript or text custom_intent : typing.Optional[typing.Union[str, typing.Sequence[str]]] Custom intents you want the model to detect within your input audio if present custom_intent_mode : typing.Optional[TextAnalyzeRequestCustomIntentMode] Sets how the model will interpret intents submitted to the `custom_intent` param. When `strict`, the model will only return intents submitted using the `custom_intent` param. When `extended`, the model will return its own detected intents in the `custom_intent` param. language : typing.Optional[str] The [BCP-47 language tag](https://tools.ietf.org/html/bcp47) that hints at the primary spoken language. Depending on the Model and API endpoint you choose only certain languages are available request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ReadV1Response Successful text analysis Examples -------- import asyncio from deepgram import AsyncDeepgramClient client = AsyncDeepgramClient( api_key="YOUR_API_KEY", ) async def main() -> None: await client.read.v1.text.analyze( callback="callback", callback_method="POST", sentiment=True, summarize="v2", tag="tag", topics=True, custom_topic="custom_topic", custom_topic_mode="extended", intents=True, custom_intent="custom_intent", custom_intent_mode="extended", language="language", request={"url": "url"}, ) asyncio.run(main()) r0Nr1r4rrrr2s$d zAsyncTextClient.analyze)r6r7r8rrr9r rrr:r;r<r r=rr>r?r r rrr2rrrrrAr@rA)r:core.client_wrapperrrcore.request_optionsrrequests.read_v1requestrtypes.read_v1responser raw_clientr r *types.text_analyze_request_callback_methodr -types.text_analyze_request_custom_intent_moder ,types.text_analyze_request_custom_topic_moder $types.text_analyze_request_summarizercastAnyOMITrrArrrrs       ~