Rename model_name to deployment name.

Signed-off-by: wxywb <xy.wang@zilliz.com>

README.md

@@ -1,4 +1,4 @@
-# OpenAI Chat Completion
+# Azure OpenAI Chat Completion
 
 *author: David Wang*
 
@@ -75,18 +75,13 @@ answer = p(question, docs, history).get()[0]
 
 Create the operator via the following factory method:
 
-***LLM.OpenAI(model_name: str, api_key: str)***
+***LLM.OpenAI(deployment_name: str, api_key: str)***
 
 **Parameters:**
 
-***model_name***: *str*
+***deployment_name***: *str*
 
-The model name in string, defaults to 'gpt-3.5-turbo'. Supported model names:
-- gpt-3.5-turbo
-- gpt-3.5-turbo-16k
-- gpt-3.5-turbo-instruct
-- gpt-3.5-turbo-0613
-- gpt-3.5-turbo-16k-0613
+Deployments provide endpoints to the Azure CpenAl base model, or your ine-tuned models, conioured with setings to meet your needs,
 
 ***api_type***: *str='azure'*
 

azure_openai_chat.py

@@ -21,7 +21,7 @@ from towhee.operator.base import PyOperator
 class AzureOpenaiChat(PyOperator):
     '''Wrapper of OpenAI Chat API'''
     def __init__(self,
-                 model_name: str = 'gpt-3.5-turbo',
+                 deployment_name: str = 'gpt-3.5-turbo',
                  api_type: str = 'azure', 
                  api_version: str = '2023-07-01-preview',
                  api_key: str = None,
@@ -34,14 +34,14 @@ class AzureOpenaiChat(PyOperator):
         self._api_type = api_type
         self._api_version = api_version
        
-        self._model = model_name
+        self._deployment = deployment_name
         self.stream = kwargs.pop('stream') if 'stream' in kwargs else False
         self.kwargs = kwargs
 
     def __call__(self, messages: List[dict]):
         messages = self.parse_inputs(messages)
         response = openai.ChatCompletion.create(
-            engine=self._model,
+            engine=self._deployment,
             messages=messages,
             n=1,
             stream=self.stream,
@@ -81,15 +81,3 @@ class AzureOpenaiChat(PyOperator):
         for resp in response:
             yield resp['choices'][0]['delta']
 
-    @staticmethod
-    def supported_model_names():
-        model_list = [
-            'gpt-3.5-turbo',
-            'gpt-3.5-turbo-16k',
-            'gpt-3.5-turbo-instruct',
-            'gpt-3.5-turbo-0613',
-            'gpt-3.5-turbo-16k-0613'
-        ]
-        model_list.sort()
-        return model_list
-