changed metadata.txt to metadata.sql for easier formatting

inference.py

@@ -3,7 +3,7 @@
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 
-def generate_prompt(question, prompt_file="prompt.md", metadata_file="metadata.txt"):
+def generate_prompt(question, prompt_file="prompt.md", metadata_file="metadata.sql"):
     with open(prompt_file, "r") as f:
         prompt = f.read()
 
@@ -27,7 +27,7 @@ def get_tokenizer_model(model_name):
     )
     return tokenizer, model
 
-def run_inference(question, prompt_file="prompt.md", metadata_file="metadata.txt"):
+def run_inference(question, prompt_file="prompt.md", metadata_file="metadata.sql"):
     tokenizer, model = get_tokenizer_model("defog/starcoder-finetune-v3")
     prompt = generate_prompt(question, prompt_file, metadata_file)
 

metadata.txt → metadata.sql

@@ -32,9 +32,7 @@ CREATE TABLE product_suppliers (
   supply_price DECIMAL(10,2) -- Unit price charged by supplier
 );
 
-===
-Joinable table/column combinations:
-- sales.product_id can be joined with products.product_id
-- sales.customer_id can be joined with customers.customer_id 
-- sales.salesperson_id can be joined with salespeople.salesperson_id
-- product_suppliers.product_id can be joined with products.product_id
+-- sales.product_id can be joined with products.product_id
+-- sales.customer_id can be joined with customers.customer_id 
+-- sales.salesperson_id can be joined with salespeople.salesperson_id
+-- product_suppliers.product_id can be joined with products.product_id