with Vapi and Codeq Natural Language Processing API?
Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here
Receives two texts and returns a JSON object containing the text similarity score. See the docs here
Updates the configuration settings for a specific assistant. See the documentation
The Vapi API delivers voice automation capabilities, letting you build powerful voice response systems. With Vapi, you can automate calls, send voice messages, and create dynamic interactions through speech recognition and text-to-speech. Pipedream's serverless platform allows you to integrate Vapi's API with numerous other services to automate workflows, react to events, and orchestrate complex voice-enabled processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vapi: {
type: "app",
app: "vapi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.vapi.ai/call`,
headers: {
Authorization: `Bearer ${this.vapi.$auth.api_key}`,
},
})
},
})
The Codeq Natural Language Processing API provides powerful text analysis capabilities. It parses and understands complex structures in text, extracting meaningful insights. On Pipedream, you can harness this API to analyze text data from various sources, automate content categorization, sentiment analysis, or even construct rich profiles of user feedback. With Pipedream's serverless platform, these processes can be automated, triggered by events, and integrated with numerous other apps to create robust, data-driven workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
codeq_natural_language_processing_api: {
type: "app",
app: "codeq_natural_language_processing_api",
}
},
async run({steps, $}) {
const data = {
"user_id": `${this.codeq_natural_language_processing_api.$auth.user_id}`,
"user_key": `${this.codeq_natural_language_processing_api.$auth.user_key}`,
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.codeq.com/v1`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})