Fix instances of tsx -> ts

website/content/docs/assembly.mdx

@@ -31,7 +31,7 @@ The AssemblyAI provider provides a single interface for all of AssemblyAI's tran
 
 The AssemblyAI provider provides a `stt` function that allows you to create a speech-to-text transcription function using AssemblyAI. By default, the `stt` function uses the `best` model.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { assemblyai } from 'orate/assemblyai';
 
@@ -43,7 +43,7 @@ const text = await transcribe({
 
 You can specify the model to use by passing it as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: assemblyai.stt('nano'),
   audio: someArrayBuffer,
@@ -52,7 +52,7 @@ const text = await transcribe({
 
 You can also specify specific AssemblyAI properties by passing them as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: assemblyai.stt('nano', {
     punctuate: false,

website/content/docs/azure.mdx

@@ -32,7 +32,7 @@ The Azure provider provides a single interface for all of Azure's speech and tra
 
 The Azure provider provides a `tts` function that allows you to create a text-to-speech synthesis function using Azure Speech Service.
 
-```tsx
+```ts
 import { speak } from 'orate';
 import { azure } from 'orate/azure';
 
@@ -44,7 +44,7 @@ const speech = await speak({
 
 You can specify the voice to use by passing it as an argument to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: azure.tts('en-US-AriaNeural'),
   prompt: 'Hello, world!',
@@ -55,7 +55,7 @@ const speech = await speak({
 
 The Azure provider provides a `stt` function that allows you to create a speech-to-text transcription function using Azure Speech Service.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { azure } from 'orate/azure';
 

website/content/docs/deepgram.mdx

@@ -31,7 +31,7 @@ The Deepgram provider provides a single interface for all of Deepgram's speech a
 
 The Deepgram provider provides a `tts` function that allows you to create a text-to-speech synthesis function using Deepgram TTS. By default, the `tts` function uses the `aura` model with the `asteria-en` voice.
 
-```tsx
+```ts
 import { speak } from 'orate';
 import { deepgram } from 'orate/deepgram';
 
@@ -43,7 +43,7 @@ const speech = await speak({
 
 You can specify the model and voice to use by passing them as arguments to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: deepgram.tts('aura', 'luna-en'),
   prompt: 'Hello, world!',
@@ -52,7 +52,7 @@ const speech = await speak({
 
 You can also specify specific Deepgram properties by passing them as an argument to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: deepgram.tts('aura', 'luna-en', {
     sample_rate: 16000
@@ -65,7 +65,7 @@ const speech = await speak({
 
 The Deepgram provider provides a `stt` function that allows you to create a speech-to-text transcription function using Deepgram's speech-to-text model. By default, the `stt` function uses the `nova-2` model.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { deepgram } from 'orate/deepgram';
 
@@ -77,7 +77,7 @@ const text = await transcribe({
 
 You can specify the model to use by passing it as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: deepgram.stt('enhanced'),
   audio: someArrayBuffer,
@@ -86,7 +86,7 @@ const text = await transcribe({
 
 You can also specify specific Deepgram properties by passing them as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: deepgram.stt('enhanced', {
     filler_words: true,

website/content/docs/elevenlabs.mdx

@@ -31,7 +31,7 @@ The ElevenLabs provider provides a single interface for all of ElevenLabs' speec
 
 The ElevenLabs provider provides a `tts` function that allows you to create a text-to-speech synthesis function using ElevenLabs. By default, the `tts` function uses the `multilingual_v2` model and the `aria` voice.
 
-```tsx
+```ts
 import { speak } from 'orate';
 import { elevenlabs } from 'orate/elevenlabs';
 
@@ -43,7 +43,7 @@ const speech = await speak({
 
 You can specify the model and voice to use by passing them as arguments to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: elevenlabs.tts('english_sts_v2', 'charlotte'),
   prompt: 'Hello, world!',
@@ -52,7 +52,7 @@ const speech = await speak({
 
 You can also specify specific ElevenLabs properties by passing them as an argument to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: elevenlabs.tts('english_sts_v2', 'charlotte', {
     voice_settings: {

website/content/docs/gladia.mdx

@@ -31,7 +31,7 @@ The Gladia provider provides a single interface for all of Gladia's transcriptio
 
 The Gladia provider provides a `stt` function that allows you to create a speech-to-text transcription function using Gladia. By default, the `stt` function uses the `best` model.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { gladia } from 'orate/gladia';
 
@@ -43,7 +43,7 @@ const text = await transcribe({
 
 You can specify the model to use by passing it as an argument to the `stt` function. By default, the `stt` function uses the `base` model.
 
-```tsx
+```ts
 const text = await transcribe({
   model: gladia.stt('enhanced'),
   audio: someArrayBuffer,
@@ -52,7 +52,7 @@ const text = await transcribe({
 
 You can also specify specific Gladia properties by passing them as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: gladia.stt('enhanced', {
     chapterization: true,

website/content/docs/google.mdx

@@ -31,7 +31,7 @@ The Google provider provides a single interface for all of Google's speech and t
 
 The Google provider provides a `tts` function that allows you to create a text-to-speech synthesis function using Google Cloud Text-to-Speech. By default, the `tts` function uses the `en-US-Casual-K` model.
 
-```tsx
+```ts
 import { speak } from 'orate';
 import { google } from 'orate/google';
 
@@ -43,7 +43,7 @@ const speech = await speak({
 
 You can specify the model to use by passing it as an argument to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: google.tts('ar-XA-Wavenet-A'),
   prompt: 'Hello, world!',
@@ -52,7 +52,7 @@ const speech = await speak({
 
 You can also specify specific Google properties by passing them as an argument to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: google.tts('ar-XA-Wavenet-A', {
     advancedVoiceOptions: {
@@ -67,7 +67,7 @@ const speech = await speak({
 
 The Google provider provides a `stt` function that allows you to create a speech-to-text transcription function using Google Cloud Speech-to-Text. Google is unique in the fact that you need to specify a recognizer.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { google } from 'orate/google';
 
@@ -79,7 +79,7 @@ const text = await transcribe({
 
 You can also specify specific Google properties by passing them as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: google.stt('projects/{project}/locations/{region}/recognizers/{recognizer}', {
     config: {

website/content/docs/ibm.mdx

@@ -31,7 +31,7 @@ The IBM provider provides a single interface for all of IBM's speech and transcr
 
 The IBM provider provides a `tts` function that allows you to create a text-to-speech synthesis function using IBM Text to Speech. By default, the `tts` function uses the `en-US_AllisonV3Voice` voice.
 
-```tsx
+```ts
 import { speak } from 'orate';
 import { ibm } from 'orate/ibm';
 
@@ -43,7 +43,7 @@ const speech = await speak({
 
 You can specify the model and voice to use by passing them as arguments to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: ibm.tts('en-AU_HeidiExpressive'),
   prompt: 'Hello, world!',
@@ -52,7 +52,7 @@ const speech = await speak({
 
 You can also specify specific IBM properties by passing them as an argument to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: ibm.tts('en-AU_HeidiExpressive', {
     pitchPercentage: 5,
@@ -65,7 +65,7 @@ const speech = await speak({
 
 The IBM provider provides a `stt` function that allows you to create a speech-to-text transcription function using IBM Speech to Text. By default, the `stt` function uses the `en-US_BroadbandModel` model.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { ibm } from 'orate/ibm';
 
@@ -77,7 +77,7 @@ const text = await transcribe({
 
 You can specify the model to use by passing it as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: ibm.stt('ar-MS_Telephony'),
   audio: someArrayBuffer,
@@ -86,7 +86,7 @@ const text = await transcribe({
 
 You can also specify specific IBM properties by passing them as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: ibm.stt('ar-MS_Telephony', {
     smartFormatting: true,

website/content/docs/murf.mdx

@@ -31,7 +31,7 @@ The Murf provider provides a single interface for all of Murf's speech services.
 
 The Murf provider provides a `tts` function that allows you to create a text-to-speech synthesis function using Murf's TTS. By default, the `tts` function uses the `GEN2` model and the `en-US-natalie` voice.
 
-```tsx
+```ts
 import { speak } from 'orate';
 import { murf } from 'orate/murf';
 
@@ -43,7 +43,7 @@ const speech = await speak({
 
 You can specify the model and voice to use by passing them as arguments to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: murf.tts('GEN1', 'en-AU-joyce'),
   prompt: 'Hello, world!',
@@ -52,7 +52,7 @@ const speech = await speak({
 
 You can also specify specific Murf properties by passing them as an argument to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: murf.tts('GEN1', 'en-AU-joyce', {
     pitch: 25,

website/content/docs/native.mdx

@@ -27,7 +27,7 @@ The Native provider provides a single interface for all of the Web Speech API's
 
 The Native provider provides a `stt` function that allows you to create a speech-to-text transcription function using the Web Speech API.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { native } from 'orate/native';
 
@@ -39,7 +39,7 @@ const text = await transcribe({
 
 You can specify a language to use by passing it as an option to the `stt` function. If not specified, this defaults to the HTML lang attribute value, or the user agent's language setting if that isn't set either.
 
-```tsx
+```ts
 const text = await transcribe({
   model: native.stt({ lang: 'en-US' }),
   audio: someArrayBuffer,

website/content/docs/openai.mdx

@@ -31,7 +31,7 @@ The OpenAI provider provides a single interface for all of OpenAI's speech and t
 
 The OpenAI provider provides a `tts` function that allows you to create a text-to-speech synthesis function using OpenAI TTS. By default, the `tts` function uses the `tts-1` model and the `alloy` voice.
 
-```tsx
+```ts
 import { speak } from 'orate';
 import { openai } from 'orate/openai';
 
@@ -43,7 +43,7 @@ const speech = await speak({
 
 You can specify the model and voice to use by passing them as arguments to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: openai.tts('tts-1', 'alloy'),
   prompt: 'Hello, world!',
@@ -52,7 +52,7 @@ const speech = await speak({
 
 You can also specify specific OpenAI properties by passing them as an argument to the `tts` function.
 
-```tsx
+```ts
 const speech = await speak({
   model: openai.tts('tts-1', 'alloy', {
     speed: 1.25,
@@ -65,7 +65,7 @@ const speech = await speak({
 
 The OpenAI provider provides a `stt` function that allows you to create a speech-to-text transcription function using OpenAI Whisper. By default, the `stt` function uses the `whisper-1` model.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { openai } from 'orate/openai';
 
@@ -77,7 +77,7 @@ const text = await transcribe({
 
 You can specify the model to use by passing it as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: openai.stt('whisper-1'),
   audio: someArrayBuffer,
@@ -86,7 +86,7 @@ const text = await transcribe({
 
 You can also specify specific OpenAI properties by passing them as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: openai.stt('whisper-1', {
     temperature: 0.5,

website/content/docs/rev.mdx

@@ -31,7 +31,7 @@ The Rev AI provider provides a single interface for all of Rev AI's transcriptio
 
 The Rev AI provider provides a `stt` function that allows you to create a speech-to-text transcription function using Rev AI. By default, the `stt` function uses the `machine` model.
 
-```tsx
+```ts
 import { transcribe } from 'orate';
 import { rev } from 'orate/rev';
 
@@ -43,7 +43,7 @@ const text = await transcribe({
 
 You can specify the model to use by passing it as an argument to the `stt` function. By default, the `stt` function uses the `base` model.
 
-```tsx
+```ts
 const text = await transcribe({
   model: rev.stt('fusion'),
   audio: someArrayBuffer,
@@ -52,7 +52,7 @@ const text = await transcribe({
 
 You can also specify specific Rev AI properties by passing them as an argument to the `stt` function.
 
-```tsx
+```ts
 const text = await transcribe({
   model: rev.stt('fusion', {
     remove_disfluencies: true,