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with Bridge and IBM Cloud - Speech to Text?
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Overview of Bridge#
The Bridge API by Dandelion provides text analysis through natural language processing, enabling you to extract meaning, categorize content, and understand sentiments in large volumes of text. Integrating Bridge with Pipedream opens a realm of possibilities for automating content analysis across various apps, aiding in decision making, content organization, and customer feedback analysis.
Connect Bridge#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bridge: {
type: "app",
app: "bridge",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bridgeapi.io/v2/banks`,
headers: {
"Client-Id": `${this.bridge.$auth.client_id}`,
"Client-Secret": `${this.bridge.$auth.client_secret}`,
"Bridge-Version": `2021-06-01`,
},
})
},
})
Overview of IBM Cloud - Speech to Text#
The IBM Cloud - Speech to Text API transforms spoken language into written text, offering a powerful tool for creating transcriptions, enabling voice control and command features, and feeding speech into analytics platforms. With Pipedream, you can build automated workflows that leverage this capability, such as transcribing meetings in real-time, analyzing customer service calls for sentiment and keywords, or even creating subtitles for videos. The ability to connect with other apps on Pipedream allows for complex workflows that can turn spoken data into actionable insights or accessible content.
Connect IBM Cloud - Speech to Text#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ibm_cloud_speech_to_text: {
type: "app",
app: "ibm_cloud_speech_to_text",
}
},
async run({steps, $}) {
const data = {
"text": `hello world`,
}
return await axios($, {
method: "post",
url: `${this.ibm_cloud_speech_to_text.$auth.instance_url}/v1/synthesize`,
headers: {
"Content-Type": `application/json`,
"Accept": `audio/wav`,
},
auth: {
username: `apikey`,
password: `${this.ibm_cloud_speech_to_text.$auth.api_key}`,
},
data,
})
},
})
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