output = replicate.run(
    "gregwdata/defog-sqlcoder-q8:0a9abc0d143072fd5d8920ad90b8fbaafaf16b10ffdad24bd897b5bffacfce0b",
    input={
        "seed": -1,
        "debug": False,
        "prompt": "Which salesperson made the most sales?",
        "num_beams": 5,
        "max_length": 1200,
        "prompt_template": "### Instructions:\nYour task is convert a question into a SQL query, given a Postgres database schema.\nAdhere to these rules:\n- **Deliberately go through the question and database schema word by word** to appropriately answer the question\n- **Use Table Aliases** to prevent ambiguity. For example, `SELECT table1.col1, table2.col1 FROM table1 JOIN table2 ON table1.id = table2.id`.\n- When creating a ratio, always cast the numerator as float\n\n### Input:\nGenerate a SQL query that answers the question `{user_question}`.\nThis query will run on a database whose schema is represented in this string:\n{table_metadata_string}\n\n### Response:\nBased on your instructions, here is the SQL query I have generated to answer the question `{user_question}`:\n```sql",
        "schema_metadata": "CREATE TABLE products (\n  product_id INTEGER PRIMARY KEY, -- Unique ID for each product\n  name VARCHAR(50), -- Name of the product\n  price DECIMAL(10,2), -- Price of each unit of the product\n  quantity INTEGER  -- Current quantity in stock\n);\n\nCREATE TABLE customers (\n   customer_id INTEGER PRIMARY KEY, -- Unique ID for each customer\n   name VARCHAR(50), -- Name of the customer\n   address VARCHAR(100) -- Mailing address of the customer\n);\n\nCREATE TABLE salespeople (\n  salesperson_id INTEGER PRIMARY KEY, -- Unique ID for each salesperson \n  name VARCHAR(50), -- Name of the salesperson\n  region VARCHAR(50) -- Geographic sales region \n);\n\nCREATE TABLE sales (\n  sale_id INTEGER PRIMARY KEY, -- Unique ID for each sale\n  product_id INTEGER, -- ID of product sold\n  customer_id INTEGER,  -- ID of customer who made purchase\n  salesperson_id INTEGER, -- ID of salesperson who made the sale\n  sale_date DATE, -- Date the sale occurred \n  quantity INTEGER -- Quantity of product sold\n);\n\nCREATE TABLE product_suppliers (\n  supplier_id INTEGER PRIMARY KEY, -- Unique ID for each supplier\n  product_id INTEGER, -- Product ID supplied\n  supply_price DECIMAL(10,2) -- Unit price charged by supplier\n);\n\n-- sales.product_id can be joined with products.product_id\n-- sales.customer_id can be joined with customers.customer_id \n-- sales.salesperson_id can be joined with salespeople.salesperson_id\n-- product_suppliers.product_id can be joined with products.product_id\n"
    }
)

# The gregwdata/defog-sqlcoder-q8 model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/gregwdata/defog-sqlcoder-q8/api#output-schema
    print(item, end="")

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "gregwdata/defog-sqlcoder-q8:0a9abc0d143072fd5d8920ad90b8fbaafaf16b10ffdad24bd897b5bffacfce0b",
    "input": {
      "seed": -1,
      "debug": false,
      "prompt": "Which salesperson made the most sales?",
      "num_beams": 5,
      "max_length": 1200,
      "prompt_template": "### Instructions:\\nYour task is convert a question into a SQL query, given a Postgres database schema.\\nAdhere to these rules:\\n- **Deliberately go through the question and database schema word by word** to appropriately answer the question\\n- **Use Table Aliases** to prevent ambiguity. For example, `SELECT table1.col1, table2.col1 FROM table1 JOIN table2 ON table1.id = table2.id`.\\n- When creating a ratio, always cast the numerator as float\\n\\n### Input:\\nGenerate a SQL query that answers the question `{user_question}`.\\nThis query will run on a database whose schema is represented in this string:\\n{table_metadata_string}\\n\\n### Response:\\nBased on your instructions, here is the SQL query I have generated to answer the question `{user_question}`:\\n```sql",
      "schema_metadata": "CREATE TABLE products (\\n  product_id INTEGER PRIMARY KEY, -- Unique ID for each product\\n  name VARCHAR(50), -- Name of the product\\n  price DECIMAL(10,2), -- Price of each unit of the product\\n  quantity INTEGER  -- Current quantity in stock\\n);\\n\\nCREATE TABLE customers (\\n   customer_id INTEGER PRIMARY KEY, -- Unique ID for each customer\\n   name VARCHAR(50), -- Name of the customer\\n   address VARCHAR(100) -- Mailing address of the customer\\n);\\n\\nCREATE TABLE salespeople (\\n  salesperson_id INTEGER PRIMARY KEY, -- Unique ID for each salesperson \\n  name VARCHAR(50), -- Name of the salesperson\\n  region VARCHAR(50) -- Geographic sales region \\n);\\n\\nCREATE TABLE sales (\\n  sale_id INTEGER PRIMARY KEY, -- Unique ID for each sale\\n  product_id INTEGER, -- ID of product sold\\n  customer_id INTEGER,  -- ID of customer who made purchase\\n  salesperson_id INTEGER, -- ID of salesperson who made the sale\\n  sale_date DATE, -- Date the sale occurred \\n  quantity INTEGER -- Quantity of product sold\\n);\\n\\nCREATE TABLE product_suppliers (\\n  supplier_id INTEGER PRIMARY KEY, -- Unique ID for each supplier\\n  product_id INTEGER, -- Product ID supplied\\n  supply_price DECIMAL(10,2) -- Unit price charged by supplier\\n);\\n\\n-- sales.product_id can be joined with products.product_id\\n-- sales.customer_id can be joined with customers.customer_id \\n-- sales.salesperson_id can be joined with salespeople.salesperson_id\\n-- product_suppliers.product_id can be joined with products.product_id\\n"
    }
  }' \
  https://api.replicate.com/v1/predictions