import correct class

docs/open-llm.md

@@ -74,7 +74,7 @@ the API endpoint of your deployed model via the `base_url` parameter of the
 `XinferenceConversation` class. For instance:
 
 ```python
-from biochatter.llm_connect import GenericOpenAIConversation
+from biochatter.llm_connect import XinferenceConversation
 
 conversation = XinferenceConversation(
          base_url="http://llm.biocypher.org",
@@ -90,4 +90,4 @@ response, token_usage, correction = conversation.query("Hello world!")
 We maintain a public API endpoint of an xinference instance at
 `https://llm.biocypher.org/v1`. Please note that this is a testing endpoint that
 may be subject to rapid changes or downtimes. It usually runs one conversational
-and one embedding model.
+and one embedding model.