Update README.md

README.md

@@ -8,11 +8,11 @@ tags: [green, p1, llmware-fx, ov, emerald]
 
 **slim-extract-tiny-ov** is a specialized function calling model with a single mission to look for values in a text, based on an "extract" key that is passed as a parameter.  No other instructions are required except to pass the context passage, and the target key, e.g., 
 
-  text_passage = "The company announced that for the current quarter the total revenue increased by 9% to $125 million."
+    text_passage = "The company announced that for the current quarter the total revenue increased by 9% to $125 million."
 
-  llm_response = model.function_call(text_passage, function="extract", params=["revenue"])
+    llm_response = model.function_call(text_passage, function="extract", params=["revenue"])
 
-  Output: `llm_response = {"revenue": [$125 million"]}`
+    Output: `llm_response = {"revenue": [$125 million"]}`
   
 
 This is an OpenVino int4 quantized version of slim-extract-tiny, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.