Updated main README

README.md

@@ -73,40 +73,39 @@ You can then query the model using either the `/generate` or `/generate_stream`
 ```shell
 curl 127.0.0.1:8080/generate \
     -X POST \
-    -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":20}}' \
+    -d '{"inputs":"What is Deep Learning?","parameters":{"adapter_id":"some/adapter"}}' \
     -H 'Content-Type: application/json'
 ```
 
 ```shell
 curl 127.0.0.1:8080/generate_stream \
     -X POST \
-    -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":20}}' \
+    -d '{"inputs":"What is Deep Learning?","parameters":{"adapter_id":"some/adapter"}}' \
     -H 'Content-Type: application/json'
 ```
 
 or from Python:
 
 ```shell
-pip install lorax
+pip install lorax-client
 ```
 
 ```python
 from lorax import Client
 
 client = Client("http://127.0.0.1:8080")
-print(client.generate("What is Deep Learning?", max_new_tokens=20).generated_text)
+print(client.generate("What is Deep Learning?", adapter_id="some/adapter").generated_text)
 
 text = ""
-for response in client.generate_stream("What is Deep Learning?", max_new_tokens=20):
+for response in client.generate_stream("What is Deep Learning?", adapter_id="some/adapter"):
     if not response.token.special:
         text += response.token.text
 print(text)
 ```
 
 ### 📓 API documentation
 
-You can consult the OpenAPI documentation of the `lorax-inference` REST API using the `/docs` route.
-The Swagger UI is also available at: [https://huggingface.github.io/lorax-inference](https://huggingface.github.io/lorax-inference).
+You can consult the OpenAPI documentation of the `lorax` REST API using the `/docs` route.
 
 ### 🛠️ Local install