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How to Extract Emotions from Podcasts Instantly

One AI lets you extract speaker emotions from podcasts automatically with a few lines of code. Guide your listeners directly to minutes of happiness, anger, sadness, or surprise in each episode.
Use Language Skill

Emotions

Detect what feelings your text conveys
With Text Input

Podcasts

Extract emotions from podcasts
import oneai oneai.api_key = "CLICK_TO_GET_YOUR_API_KEY" pipeline = oneai.Pipeline(steps=[ oneai.skills.Emotions(), ]) output = pipeline.run("your_input_here") print(output)
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import OneAI from 'oneai'; const oneai = new OneAI({apiKey: 'CLICK_TO_GET_YOUR_API_KEY'}); const pipeline = new oneai.Pipeline( oneai.skills.(), ); const output = await pipeline.run('your_input_here'); console.log(output);
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curl -X POST \ 'https://api.oneai.com/api/v0/pipeline' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -H 'api-key: CLICK_TO_GET_YOUR_API_KEY' \ -d '{ "input": "your_input_here", "steps": [{ "skill": "Emotions" }] }'
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Add it to Your Product in Minutes

One AI Language Studio
01.
Test your Language AI pipeline with your Podcasts in the Studio
Pipeline API Call
02.
Use the Emotions pipeline in your code
One AI Language Studio
03.
Enjoy AI-powered Emotions for Podcasts in your apps & workflows

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