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README.md

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----
-title: Sentiment.api
-emoji: 🏆
-colorFrom: gray
-colorTo: green
-sdk: docker
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Sentiment Analysis API
+emoji: 🎭
+colorFrom: blue
+colorTo: purple
+sdk: docker
+pinned: false
+---
+
+# Sentiment Analysis API
+
+This Space provides a REST API for sentiment analysis using a fine-tuned transformer model.
+
+## API Endpoints
+
+- `GET /` - API information
+- `GET /health` - Health check
+- `POST /predict` - Analyze sentiment
+- `GET /docs` - Interactive API documentation (Swagger UI)
+
+## Usage Example
+
+```bash
+curl -X POST "https://YOUR-USERNAME-sentiment-api.hf.space/predict" \
+  -H "Content-Type: application/json" \
+  -d '{"text": "I love this product!"}'
+```
+
+Response:
+```json
+{
+  "sentiment": "positive",
+  "confidence": 0.9234
+}
+```
+
+## Model
+
+This API uses a sentiment classification model trained on [describe your dataset].
+Model repository: [link to your model repo]
+
+## Integration
+
+You can call this API from any application:
+
+```javascript
+// JavaScript/TypeScript
+fetch('https://YOUR-USERNAME-sentiment-api.hf.space/predict', {
+  method: 'POST',
+  headers: {'Content-Type': 'application/json'},
+  body: JSON.stringify({text: 'Hello world'})
+})
+.then(r => r.json())
+.then(data => console.log(data));
+```
+
+```python
+# Python
+import requests
+
+response = requests.post(
+    'https://YOUR-USERNAME-sentiment-api.hf.space/predict',
+    json={'text': 'Hello world'}
+)
+print(response.json())
+```

requirements.txt

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+fastapi
+uvicorn[standard]
+torch
+transformers
+huggingface_hub
+pydantic