1 files changed, 0 insertions, 42 deletions

diff --git a/g4f/local/_engine.py b/g4f/local/_engine.py
deleted file mode 100644
index 917de16c..00000000
--- a/g4f/local/_engine.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import os
-
-from gpt4all  import GPT4All
-from ._models import models
-
-class LocalProvider:
-    @staticmethod
-    def create_completion(model, messages, stream, **kwargs):
-        if model not in models:
-            raise ValueError(f"Model '{model}' not found / not yet implemented")
-        
-        model           = models[model]
-        model_dir       = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'models/')
-        full_model_path = os.path.join(model_dir, model['path'])
-        
-        if not os.path.isfile(full_model_path):
-            print(f"Model file '{full_model_path}' not found.")
-            download = input(f'Do you want to download {model["path"]} ? [y/n]')
-            
-            if download in ['y', 'Y']:
-                GPT4All.download_model(model['path'], model_dir)
-            else:
-                raise ValueError(f"Model '{model['path']}' not found.")
-        
-        model = GPT4All(model_name=model['path'],
-                               #n_threads=8,
-                               verbose=False,
-                               allow_download=False,
-                               model_path=model_dir)
-        
-        system_template = next((message['content'] for message in messages if message['role'] == 'system'), 
-                               'A chat between a curious user and an artificial intelligence assistant.')
-        
-        prompt_template = 'USER: {0}\nASSISTANT: '
-        conversation    = '\n'.join(f"{msg['role'].upper()}: {msg['content']}" for msg in messages) + "\nASSISTANT: "
-        
-        with model.chat_session(system_template, prompt_template):
-            if stream:
-                for token in model.generate(conversation, streaming=True):
-                    yield token
-            else:
-                yield model.generate(conversation)
\ No newline at end of file