Update README.md

README.md

@@ -19,15 +19,12 @@ base_model:
 ---
 
 # Bert_sentiment_classifier
-
 A BERT (`bert-base-uncased`) model fine-tuned for **3-class sentiment classification**:
-
 - **Positive**
 - **Neutral**
 - **Negative**
 
 ## Labels
-
 | id | label    |
 |---:|----------|
 | 0  | Neutral  |
@@ -35,13 +32,18 @@ A BERT (`bert-base-uncased`) model fine-tuned for **3-class sentiment classifica
 | 2  | Negative |
 
 ## Test Drive
-
 Try one of these examples into the widget:
-
 - **Negative:** "Dirty. Generally poor attitude among the nurses, even the good know the place sucks. When patients are crying for help nurse should not be busy watching Tik-Tok. Too many mistakes made too often. Teaching nurses instructing student nurse procedures incorrectly. Yes, it is bad."
 - **Neutral:** "I received the update and will review it later this week."
 - **Positive:** "I had surgery last month. and I was very impressed with the quality of service from the moment I got in till I left. Also I like to mention the nurses they were out standing"
 
+<iframe
+  src="https://pokwir-bert-sentiment-demo.hf.space/"
+  frameborder="0"
+  width="100%"
+  height="600"
+></iframe>
+
 ## How to use
 
 ### Transformers pipeline