updates again

app.py

@@ -37,7 +37,7 @@ description = """The NSQL model family was published by [Numbers Station](https:
 - [nsql-2B](https://huggingface.co/NumbersStation/nsql-2B)
 - [nsql-350M]((https://huggingface.co/NumbersStation/nsql-350M))  
 
-For now you can only use the 350M version of the model here, as the file size of the other models exceeds the max memory available in spaces.
+This demo let's you choose which one you want to use and provides the three examples you can also find in their model cards.  
 
 In general you should first provide the table schemas of the tables you have questions about and then prompt it with a natural language question.  
 The model will then generate a SQL query that you can run against your database.

example_strings.py

@@ -32,7 +32,7 @@ CREATE TABLE singer_in_concert (
 )""",
 "Using valid SQLite, answer the following questions for the tables provided above.",
 "What is the maximum, the average, and the minimum capacity of stadiums ?",
-"nsql-350M"]
+"nsql-6B"]
 
 example2 = ["""CREATE TABLE stadium (
     stadium_id number,
@@ -42,7 +42,7 @@ example2 = ["""CREATE TABLE stadium (
 )""",
 "Using valid SQLite, answer the following questions for the tables provided above.",
 "how many stadiums in total?",
-"nsql-350M"]
+"nsql-2B"]
 
 example3 = ["""CREATE TABLE work_orders (
     ID NUMBER,