with Cisco Webex and AssemblyAI?
Emit new event when a transcribed audio file from AssemblyAI is ready. See the documentation
Emit new event when a message is added. See the docs here
Creates a room. The authenticated user is automatically added as a member of the room. See the docs here
Export your completed transcripts in SRT (srt) or VTT (vtt) format, which can be used for subtitles and closed captions in videos. See the documentation
Post a plain text or rich text message, and optionally, a file attachment, to a room. See the docs here
Fetches a specific transcribed result from the AssemblyAI API. See the documentation
The Cisco Webex API allows developers to integrate their applications with Cisco's robust collaboration tools, creating a workflow of communication within teams and automating various aspects of the meeting lifecycle, from scheduling to follow-up actions. With this API, you can streamline meeting setups, fetch detailed information about participants and meetings, send messages to spaces (rooms), and manage your Webex resources programmatically. Leveraging Pipedream's capabilities, you can connect these features with other apps to automate complex tasks, analyze meeting data, enhance productivity, and maintain a well-organized communication ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cisco_webex: {
type: "app",
app: "cisco_webex",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://webexapis.com/v1/people/me`,
headers: {
Authorization: `Bearer ${this.cisco_webex.$auth.oauth_access_token}`,
},
})
},
})
The AssemblyAI API provides powerful speech recognition and natural language processing capabilities. It allows users to transcribe audio, analyze sentiment, detect topics, and more. In Pipedream, you can leverage these features to create automated workflows that process audio and text data. Connect AssemblyAI to various apps and services, trigger actions based on the API's output, and build robust, serverless data pipelines.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
assemblyai: {
type: "app",
app: "assemblyai",
}
},
async run({steps, $}) {
const data = {
"audio_url": `{{your_audio_url}}`,
//for testing, try: https://storage.googleapis.com/aai-web-samples/espn-bears.m4a
}
return await axios($, {
method: "POST",
url: `https://api.assemblyai.com/v2/transcript`,
headers: {
"authorization": `${this.assemblyai.$auth.api_key}`,
},
data,
})
},
})