Update README.md

README.md

@@ -58,14 +58,26 @@ Install the required dependencies:
 
 ```python
 from transformers import pipeline
-summarizer = pipeline("summarization", model="philschmid/distilbart-cnn-12-6-samsum")
-
-conversation = '''Jeff: Can I train a 🤗 Transformers model on Amazon SageMaker? 
-Philipp: Sure you can use the new Hugging Face Deep Learning Container. 
-Jeff: ok.
-Jeff: and how can I get started? 
-Jeff: where can I find documentation? 
-Philipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face 
+summarizer = pipeline("summarization", model="Mahalingam/DistilBart-Med-Summary")
+
+conversation = '''write the below JSON into normal text
+{
+ "Sex": "M",
+ "ID": 585248,
+ "DateOfBirth": "08/10/1995",
+ "Age": "28 years",
+ "VisitDate": "09/25/2023",
+ "LogNumber": 6418481,
+ "Historian": "Self",
+ "TriageNotes": ["fever"],
+ "HistoryOfPresentIllness": {
+ "Complaint": [
+ "The patient presents with a chief complaint of chills.",
+ "The problem is made better by exercise and rest.",
+ "The patient also reports change in appetite and chest pain/pressure as abnormal symptoms related to the complaint."
+ ]
+ }
+} 
 '''
 nlp(conversation)
 ```