Temi is an audio transcription service that uses computers to transcribe English audio or video into text. We also offer rich editing tools that you can use to annotate and edit your transcripts.
Emit new event when a new batch is completed in OpenAI. See the documentation
Emit new event when a new file is created in OpenAI. See the documentation
Emit new event when a new fine-tuning job is created in OpenAI. See the documentation
Emit new event every time a run changes its status. See the documentation
The Chat API, using the gpt-3.5-turbo
or gpt-4
model. See the documentation
Summarizes text using the Chat API. See the documentation
Classify items into specific categories using the Chat API. See the documentation
Translate text from one language to another using the Chat API. See the documentation
Temi API offers automated transcription services, converting audio and video files into text. With Pipedream's robust platform, you can exploit Temi's capabilities to activate a myriad of automated workflows, from transcribing meeting recordings for easy reference to triggering tasks based on the presence of keywords in transcribed text. The real power lies in connecting these transcriptions to other services for further analysis, archiving, or even real-time alerting.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
temi: {
type: "app",
app: "temi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.temi.com/v1/account`,
headers: {
Authorization: `Bearer ${this.temi.$auth.api_key}`,
},
})
},
})
OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:
Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
openai: {
type: "app",
app: "openai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.openai.com/v1/models`,
headers: {
Authorization: `Bearer ${this.openai.$auth.api_key}`,
},
})
},
})