one funcion to append .bin suffix

gpt4all-bindings/python/gpt4all/gpt4all.py

@@ -14,6 +14,7 @@ from . import pyllmodel
 # TODO: move to config
 DEFAULT_MODEL_DIRECTORY = os.path.join(str(Path.home()), ".cache", "gpt4all").replace("\\", "\\\\")
 
+
 class GPT4All():
     """Python API for retrieving and interacting with GPT4All models.
     
@@ -58,7 +59,8 @@ class GPT4All():
         return requests.get("https://gpt4all.io/models/models.json").json()
 
     @staticmethod
-    def retrieve_model(model_name: str, model_path: str = None, allow_download: bool = True, verbose: bool = True) -> str:
+    def retrieve_model(model_name: str, model_path: str = None, allow_download: bool = True,
+                       verbose: bool = True) -> str:
         """
         Find model file, and if it doesn't exist, download the model.
 
@@ -72,10 +74,8 @@ class GPT4All():
         Returns:
             Model file destination.
         """
-        
-        model_filename = model_name
-        if not model_filename.endswith(".bin"):
-            model_filename += ".bin"
+
+        model_filename = append_bin_suffix_if_missing(model_name)
 
         # Validate download directory
         if model_path is None:
@@ -123,7 +123,7 @@ class GPT4All():
 
         def get_download_url(model_filename):
             return f"https://gpt4all.io/models/{model_filename}"
-    
+
         # Download model
         download_path = os.path.join(model_path, model_filename).replace("\\", "\\\\")
         download_url = get_download_url(model_filename)
@@ -171,11 +171,11 @@ class GPT4All():
             Raw string of generated model response.
         """
         return self.model.generate(prompt, streaming=streaming, **generate_kwargs)
-    
-    def chat_completion(self, 
-                        messages: List[Dict], 
-                        default_prompt_header: bool = True, 
-                        default_prompt_footer: bool = True, 
+
+    def chat_completion(self,
+                        messages: List[Dict],
+                        default_prompt_header: bool = True,
+                        default_prompt_footer: bool = True,
                         verbose: bool = True,
                         streaming: bool = True,
                         **generate_kwargs) -> dict:
@@ -205,10 +205,10 @@ class GPT4All():
                 "choices": List of message dictionary where "content" is generated response and "role" is set
                 as "assistant". Right now, only one choice is returned by model.
         """
-       
-        full_prompt = self._build_prompt(messages, 
-                                        default_prompt_header=default_prompt_header, 
-                                        default_prompt_footer=default_prompt_footer)
+
+        full_prompt = self._build_prompt(messages,
+                                         default_prompt_header=default_prompt_header,
+                                         default_prompt_footer=default_prompt_footer)
         if verbose:
             print(full_prompt)
 
@@ -219,9 +219,9 @@ class GPT4All():
 
         response_dict = {
             "model": self.model.model_name,
-            "usage": {"prompt_tokens": len(full_prompt), 
-                      "completion_tokens": len(response), 
-                      "total_tokens" : len(full_prompt) + len(response)},
+            "usage": {"prompt_tokens": len(full_prompt),
+                      "completion_tokens": len(response),
+                      "total_tokens": len(full_prompt) + len(response)},
             "choices": [
                 {
                     "message": {
@@ -233,10 +233,10 @@ class GPT4All():
         }
 
         return response_dict
-    
+
     @staticmethod
-    def _build_prompt(messages: List[Dict], 
-                      default_prompt_header=True, 
+    def _build_prompt(messages: List[Dict],
+                      default_prompt_header=True,
                       default_prompt_footer=False) -> str:
         # Helper method to format messages into prompt.
         full_prompt = ""
@@ -278,14 +278,13 @@ class GPT4All():
             return pyllmodel.MPTModel()
         else:
             raise ValueError(f"No corresponding model for model_type: {model_type}")
-        
+
     @staticmethod
     def get_model_from_name(model_name: str) -> pyllmodel.LLModel:
         # This needs to be updated for each new model
 
         # NOTE: We are doing this preprocessing a lot, maybe there's a better way to organize
-        if ".bin" not in model_name:
-            model_name += ".bin"
+        model_name = append_bin_suffix_if_missing(model_name)
 
         GPTJ_MODELS = [
             "ggml-gpt4all-j-v1.3-groovy.bin",
@@ -320,3 +319,9 @@ class GPT4All():
                    f"If this is a custom model, make sure to specify a valid model_type.\n")
 
         raise ValueError(err_msg)
+
+
+def append_bin_suffix_if_missing(model_name):
+    if not model_name.endswith(".bin"):
+        model_name += ".bin"
+    return model_name