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---
title: SER Wav2Vec
sdk: docker
app_port: 7860
---
# 🎤 Speech Emotion Recognition — Wav2Vec2 (FastAPI + Docker)
This Hugging Face Space provides a backend API for **Speech Emotion Recognition (SER)**
using the Wav2Vec2ForSequenceClassification model.
The backend is implemented using **FastAPI** and runs inside a **Docker** container
that exposes the `/predict` endpoint to accept audio and return emotion scores.
---
## 🚀 API Endpoints
### **1. Health Check**
##/GET
Example Response:
```json
{ "status": "ok" }
Emotion Prediction
POST /predict
| field | type | description |
| ----- | ------ | ------------------------------- |
| file | binary | audio file (.wav / .mp3 / .m4a) |
curl -X POST "https://marshal-yash-SER_wav2vec.hf.space/predict" \
-H "accept: application/json" \
-H "Content-Type: multipart/form-data" \
-F "[email protected]"
{
"results": [
{ "label": "happy", "score": 0.71 },
{ "label": "neutral", "score": 0.15 },
{ "label": "sad", "score": 0.08 }
],
"dominant": { "label": "happy", "score": 0.71 }
}
├── server.py # FastAPI application
├── Dockerfile # Docker config for HF Spaces
├── requirements.txt # Python dependencies
└── README.md # Documentation (this file)
marshal-yash/SER_wav2vec
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