Update README.md

README.md

@@ -1,11 +1,56 @@
 ---
-title: SER Wav2vec
-emoji: 📉
-colorFrom: gray
-colorTo: red
+title: SER Wav2Vec
 sdk: docker
-pinned: false
-license: mit
+app_port: 7860
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🎤 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