make model mandatory

Author: shahules786

nbs/llm/llm.ipynb

@@ -42,7 +42,7 @@
     "T = t.TypeVar('T', bound=BaseModel)\n",
     "\n",
     "class RagasLLM:\n",
-    "    def __init__(self, provider: str, client: t.Any, model: t.Optional[str] = None):\n",
+    "    def __init__(self, provider: str, model:str, client: t.Any):\n",
     "        self.provider = provider.lower()\n",
     "        self.model = model\n",
     "        self.client = self._initialize_client(provider, client)\n",
@@ -139,7 +139,7 @@
     "            **kwargs\n",
     "        )\n",
     "\n",
-    "def ragas_llm(provider: str, client: t.Any, model: t.Optional[str] = None) -> RagasLLM:\n",
+    "def ragas_llm(provider: str,model:str, client: t.Any,) -> RagasLLM:\n",
     "    return RagasLLM(provider=provider, client=client, model=model)"
    ]
   },

ragas_annotator/llm/llm.py

@@ -13,7 +13,7 @@
 T = t.TypeVar('T', bound=BaseModel)
 
 class RagasLLM:
-    def __init__(self, provider: str, client: t.Any, model: t.Optional[str] = None):
+    def __init__(self, provider: str, model:str, client: t.Any):
         self.provider = provider.lower()
         self.model = model
         self.client = self._initialize_client(provider, client)
@@ -110,5 +110,5 @@ async def agenerate(self, prompt: str, response_model: t.Type[T], **kwargs) -> T
             **kwargs
         )
 
-def ragas_llm(provider: str, client: t.Any, model: t.Optional[str] = None) -> RagasLLM:
+def ragas_llm(provider: str,model:str, client: t.Any,) -> RagasLLM:
     return RagasLLM(provider=provider, client=client, model=model)