Update README.md

fix code formatting

README.md

@@ -15,28 +15,28 @@ license: apache-2.0
 
 
 To pull the model via API:  
-
-    from huggingface_hub import snapshot_download           
-    snapshot_download("llmware/slim-sql-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
-    
+```python
+from huggingface_hub import snapshot_download           
+snapshot_download("llmware/slim-sql-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
+```
 
 Load in your favorite GGUF inference engine, or try with llmware as follows:
+```python
+from llmware.models import ModelCatalog  
 
-    from llmware.models import ModelCatalog  
-    
-    # this one line will download the model and run a series of tests
-    # includes two sample table schema - go to llmware github repo for end-to-end example  
-    ModelCatalog().tool_test_run("slim-sql-tool", verbose=True)  
-
+# this one line will download the model and run a series of tests
+# includes two sample table schema - go to llmware github repo for end-to-end example  
+ModelCatalog().tool_test_run("slim-sql-tool", verbose=True)  
+```
 
 Slim models can also be orchestrated as part of multi-model, multi-step LLMfx calls:
+```python
+from llmware.agents import LLMfx
 
-    from llmware.agents import LLMfx
-
-    llm_fx = LLMfx()
-    llm_fx.load_tool("sql")
-    response = llm_fx.sql(query, table_schema)  
-
+llm_fx = LLMfx()
+llm_fx.load_tool("sql")
+response = llm_fx.sql(query, table_schema)  
+```
 
 Note: please review [**config.json**](https://huggingface.co/llmware/slim-sql-tool/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.