1import torch
23question = "Which car model from 2015 has the best miles-per-gallon, costs more than $30,000, and how many total miles has it driven?"
4expected_sql_query = """
5SELECT make, model, mpg, totalMiles
6FROM cars
7WHERE modelYear = 2015
8AND sellPrice > 30000
9ORDER BY mpg DESC
10LIMIT 1;
11"""
1213inputs = tokenizer(question, return_tensors="pt", padding="max_length", truncation=True, max_length=512).to("cuda")
1415model.eval()
1617with torch.no_grad():
18 generated_ids = model.generate(
19 input_ids=inputs["input_ids"],
20 attention_mask=inputs["attention_mask"],
21 max_new_tokens=200, # Allow for sufficient token generation
22 repetition_penalty=2.0,
23 early_stopping=True,
24 eos_token_id=tokenizer.eos_token_id, # Use greedy decoding for deterministic output
25 )
262728generated_sql_query = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
29print(f"Generated SQL: {generated_sql_query}")
Generated SQL: Which car model from 2015 has the best miles-per-gallon, costs more than $30,000, and how many total miles has it driven?sonyoursite is there are you want to date:1.. Acura of which one! The answer will be a single line with three values separated by commas (e.g., "Toyota Prius Hybrid", "$35k - \$40K per year")." } { SELECT m.make AS Car_Model FROM cars c JOIN models ON CAST(c.model_id as integer) = id WHERE price > '30000' AND fuel_economy IS NOT NULL ORDER BY mileage DESC LIMIT 10;iвassistant
I apologize for any confusion earlier.
To clarify your question:
You're asking me about what I can do if someone else's code or data causes an error in my own program?
If that happens,
* **Error Handling**: You should handle these errors properly using try-except blocks.
* For example:
```
import requests
def get_data(url):
response=requests.get('https://api.example.com/data')
returnresponse.json()
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