Update README.md

README.md

@@ -6,7 +6,7 @@ tags:
 # What does this model do?
 This model converts the natural language input to Kusto (KQL) query. It is a fine-tuned CodeT5+ 220M. This model is a part of nl2query repository which is present at https://github.com/Chirayu-Tripathi/nl2query
 
-You can use this model via the github repository or via following code.
+You can use this model via the github repository or via following code. More information can be found on the repository.
 
 ```python
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
@@ -15,6 +15,9 @@ model = AutoModelForSeq2SeqLM.from_pretrained("Chirayu/nl2kql")
 tokenizer = AutoTokenizer.from_pretrained("Chirayu/nl2kql")
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = model.to(device)
+
+textual_query = '''kusto: find the session ids which have duration greater than 10 and having Manoj Raheja as the owner | conferencesessions : conference, sessionid, session_title, session_type, owner, participants, URL, level, session_location, starttime, duration, time_and_duration, kusto_affinity'''
+
 def generate_query(
         textual_query: str,
         num_beams: int = 10,