haripriyaram/emotion-classifier-Microservice

Emotion Classifier Microservice

This microservice exposes a FastAI emotion classification model via a FastAPI REST API.

Service Description

• —Input: JSON with a text field (string) containing the text to classify.
• —Output: JSON with the predicted emotion (string) and confidence (float between 0 and 1).

Example

Request

POST /predict
Content-Type: application/json
{
  "text": "I am so happy today!"
}

Response

{
  "emotion": "joy",
  "confidence": 0.98
}

Public URL

Once deployed, your service will be available at:

<YOUR_PUBLIC_URL_HERE>

Deployment Instructions

1. 1.Place emotion_classifier.pkl in this directory.
2. 2.Install dependencies:

   pip install -r requirements.txt

1. 1.Start the service:

   uvicorn main:app --host 0.0.0.0 --port 8000

1. 1.Test locally:

   curl -X POST "http://localhost:8000/predict" -H "Content-Type: application/json" -d '{"text": "I am so happy today!"}'

Notes

• —Make sure to update <YOUR_PUBLIC_URL_HERE> after deployment (e.g., Railway, Hugging Face Spaces, Render, etc.).
• —Keep the service running and accessible until grading is complete.