Update README.md

README.md

@@ -36,7 +36,7 @@ By exporting the **vision encoder** into ONNX and TensorRT engines, we significa
 The MiniVLA deployment is designed with modular microservices:  
 
 <p align="center">
-  <img src="System_Architecture.svg">
+  <img src="System_Architecture.jpg">
 </p>
 
 
@@ -49,7 +49,7 @@ The MiniVLA deployment is designed with modular microservices:
 ### Hybrid Acceleration
 
 <p align="center">
-  <img src="MiniVLA_Architecture.svg">
+  <img src="MiniVLA_Architecture.jpg">
 </p>
 
 
@@ -112,6 +112,7 @@ vision_embedding = response.json()
 ### Call TensorRT-LLM (HTTP API)
 
 ```python
+
 import requests
 
 url = "http://llm.svc:8810/llm/generate"