Update README.md

Author: curiousily

README.md

@@ -2,6 +2,30 @@
 
 Deploy a pre-trained BERT model for Sentiment Analysis as a REST API using FastAPI
 
+## Demo
+
+The model is trained to classify sentiment (negative, neutral, and positive) on a custom dataset from app reviews on Google Play. Here's a sample request to the API:
+
+```bash
+http POST http://127.0.0.1:8000/predict text="Good basic lists, i would like to create more lists, but the annual fee for unlimited lists is too out there"
+```
+
+The response you'll get looks something like this:
+
+```js
+{
+ "confidence": 0.9999083280563354,
+ "probabilities": {
+ "negative": 3.563107020454481e-05,
+ "neutral": 0.9999083280563354,
+ "positive": 5.596495248028077e-05
+ },
+ "sentiment": "neutral"
+}
+```
+
+You can also [read the complete tutorial here](https://www.curiousily.com/posts/deploy-bert-for-sentiment-analysis-as-rest-api-using-pytorch-transformers-by-hugging-face-and-fastapi/)
+
 ## Installation
 
 Clone this repo:
@@ -39,4 +63,4 @@ bin/test_request
 
 ## License
 
-MIT
+MIT